Third quarter 2013 Archives by thread

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Starting: Mon Jul 1 00:38:10 CEST 2013
Ending: Mon Sep 30 23:19:50 CEST 2013
Messages: 524

• [R-sig-ME] Question on mixed model design to analyze microarray data   Tom Wenseleers
  • [R-sig-ME] Question on mixed model design to analyze microarray data   Russ Lenth
• [R-sig-ME] How to test significance of random effects (intercept and slope) biologically interpretable   tommy gaillard
  • [R-sig-ME] How to test significance of random effects (intercept and slope) biologically interpretable   David Duffy
    • [R-sig-ME] How to test significance of random effects (intercept and slope) biologically interpretable   tommy gaillard
      • [R-sig-ME] How to test significance of random effects (intercept and slope) biologically interpretable   Robert A LaBudde
      • [R-sig-ME] How to test significance of random effects (intercept and slope) biologically interpretable   tommy gaillard
      • [R-sig-ME] How to test significance of random effects (intercept and slope) biologically interpretable   Douglas Bates
      • [R-sig-ME] How to test significance of random effects (intercept and slope) biologically interpretable   tommy gaillard
• [R-sig-ME] Model validation for Presence / Absence, (binomial) GLMs   Highland Statistics Ltd
  • [R-sig-ME] Help file inconsistency for VarCorr in lme4?   S Ellison
    • [R-sig-ME] Help file inconsistency for VarCorr in lme4?   Ben Bolker
      • [R-sig-ME] Help file inconsistency for VarCorr in lme4?   S Ellison
      • [R-sig-ME] Help file inconsistency for VarCorr in lme4?   Ben Bolker
  • [R-sig-ME] Model validation for Presence / Absence, (binomial) GLMs   Ben Bolker
    • [R-sig-ME] Model validation for Presence / Absence, (binomial) GLMs   Ken Knoblauch
      • [R-sig-ME] Model validation for Presence / Absence, (binomial) GLMs   Gabriel Baud-Bovy
• [R-sig-ME] lmer: Model with crossed and nested factors, unbalanced data   Clara Vandeweerdt
  • [R-sig-ME] lmer: Model with crossed and nested factors, unbalanced data   Malcolm Fairbrother
    • [R-sig-ME] lmer: Model with crossed and nested factors, unbalanced data   Clara Vandeweerdt
      • [R-sig-ME] lmer: Model with crossed and nested factors, unbalanced data   Petri Lankoski
      • [R-sig-ME] lmer: Model with crossed and nested factors, unbalanced data   Malcolm Fairbrother
• [R-sig-ME] Simulating multilevel dataset   Stuart Luppescu
  • [R-sig-ME] Simulating multilevel dataset   Stuart Luppescu
    • [R-sig-ME] Simulating multilevel dataset   Thompson,Paul
      • [R-sig-ME] Simulating multilevel dataset   Stuart Luppescu
    • [R-sig-ME] Simulating multilevel dataset   Stuart Luppescu
  • [R-sig-ME] Simulating multilevel dataset   Joshua Wiley
  • [R-sig-ME] Simulating multilevel dataset   Greg Snow
• [R-sig-ME] nonlinear behavior of effective sample size   Ross Boylan
• [R-sig-ME] glmer: object 'd' not found   Ross Boylan
  • [R-sig-ME] glmer: object 'd' not found   Steve Walker
    • [R-sig-ME] glmer: object 'd' not found   Ross Boylan
• [R-sig-ME] Non-parametric, multivariate, repeated measures analysis. CLM?   Torvon
  • [R-sig-ME] Non-parametric, multivariate, repeated measures analysis. CLM?   peter dalgaard
    • [R-sig-ME] Non-parametric, multivariate, repeated measures analysis. CLM?   Torvon
    • [R-sig-ME] Non-parametric, multivariate, repeated measures analysis. CLM?   peter dalgaard
• [R-sig-ME] Mcmcsamp and Confidence Intervals   tommy gaillard
  • [R-sig-ME] Mcmcsamp and Confidence Intervals   Jörg Albrecht
  • [R-sig-ME] Fwd: Mcmcsamp and Confidence Intervals   tommy gaillard
• [R-sig-ME] Hierarchical multi-level model with lmer: why are the highest-level random adjustments 0?   Stefan Th. Gries
• [R-sig-ME] Confidence Interval of random effect variances in lmer   tommy gaillard
  • [R-sig-ME] Confidence Interval of random effect variances in lmer   Ben Bolker
• [R-sig-ME] Non-parametric, multivariate, repeated measures, analysis. CLM?   Highland Statistics Ltd
• [R-sig-ME] gamm with varIdent and random intercept   陈春
• [R-sig-ME] Comparing random effects with exactRLRT   Chaitanya Acharya
• [R-sig-ME] using RLRsim to test for variance components   Chaitanya Acharya
• [R-sig-ME] issues with weights in glmer (or glmmADMB) [SEC=UNCLASSIFIED]   Steve Candy
• [R-sig-ME] correctly specifying temporal pseudo replication in a mixed effects model   Oyomoare Peters
• [R-sig-ME] lmer how to get predictions and confidence intervals   Ron Stone
  • [R-sig-ME] lmer how to get predictions and confidence intervals   Marko Bachl
  • [R-sig-ME] lmer how to get predictions and confidence intervals   Ben Bolker
  • [R-sig-ME] lmer how to get predictions and confidence intervals   Ben Bolker
  • [R-sig-ME] lmer how to get predictions and confidence intervals   Lenth, Russell V
• [R-sig-ME] glmer with nAGQ > 1   Viechtbauer Wolfgang (STAT)
  • [R-sig-ME] glmer with nAGQ > 1   Ben Bolker
    • [R-sig-ME] glmer with nAGQ > 1   Viechtbauer Wolfgang (STAT)
      • [R-sig-ME] glmer with nAGQ > 1   Joshua Wiley
      • [R-sig-ME] glmer with nAGQ > 1   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Nested and/or crossed and 2 level random factor   Linda Bürgi
  • [R-sig-ME] Nested and/or crossed and 2 level random factor   Linda Bürgi
    • [R-sig-ME] Nested and/or crossed and 2 level random factor   Linda Bürgi
  • [R-sig-ME] Nested and/or crossed and 2 level random factor   Ben Bolker
    • [R-sig-ME] Nested and/or crossed and 2 level random factor   Steve Denham
• [R-sig-ME] Repeated measures and nested/crossed factors   Linda Bürgi
• [R-sig-ME] Repeated measures and crossed/nested factors   Linda Buergi
• [R-sig-ME] using weights=varIdent in lme: how to change reference level of grouping factor?   Emma Knight
  • [R-sig-ME] using weights=varIdent in lme: how to change reference level of grouping factor?   Ben Bolker
    • [R-sig-ME] using weights=varIdent in lme: how to change reference level of grouping factor?   Karl Ove Hufthammer
    • [R-sig-ME] using weights=varIdent in lme: how to change reference level of grouping factor?   Emma
• [R-sig-ME] Specifying random structure for a nested model   Murilo Sversut Dias
• [R-sig-ME] Measuring repeatability (ICC) + CI95 in linear mixed models   tommy gaillard
• [R-sig-ME] modeling effects in multiple data frames   marKo
  • [R-sig-ME] modeling effects in multiple data frames   Emmanuel Curis
    • [R-sig-ME] modeling effects in multiple data frames   Ben Bolker
      • [R-sig-ME] modeling effects in multiple data frames   marKo
• [R-sig-ME] Autocorrelation in a growth curve model   Cole, Tim
  • [R-sig-ME] Autocorrelation in a growth curve model   Andrew Robinson
• [R-sig-ME] [R] Differences between glmmPQL and lmer and AIC calculation   Tonio Pieterek
• [R-sig-ME] Screen a   Jeff Craw
  • [R-sig-ME] Interpreting variances in lme with varIdent weights   S Ellison
    • [R-sig-ME] Interpreting variances in lme with varIdent weights   ONKELINX, Thierry
• [R-sig-ME] Welcome to the "R-sig-mixed-models" mailing list (Digest mode)   Moshiur Rahman
• [R-sig-ME] Rodrigo Tardin   Rodrigo Tardin
• [R-sig-ME] using weights=varIdent in lme: how to change, reference level of grouping factor?   Highland Statistics Ltd
• [R-sig-ME] Two random effects with identical conditional modes   boomslang
  • [R-sig-ME] Two random effects with identical conditional modes   Jarrod Hadfield
    • [R-sig-ME] Two random effects with identical conditional modes   boomslang
• [R-sig-ME] glmmADMB package   Colin Olito
  • [R-sig-ME] glmmADMB package   Ben Bolker
• [R-sig-ME] Testing which levels of nesting can be omitted   Robert Zimbardo
• [R-sig-ME] Semantics question regarding "random effect" vs. "random effects"   Jeremy Koster
  • [R-sig-ME] Semantics question regarding "random effect" vs. "random effects"   Jake Westfall
    • [R-sig-ME] Semantics question regarding "random effect" vs. "random effects"   peter dalgaard
• [R-sig-ME] false convergence of lmer model   Tara Woud
  • [R-sig-ME] false convergence of lmer model   Ben Bolker
    • [R-sig-ME] false convergence of lmer model   Neil Collier
      • [R-sig-ME] false convergence of lmer model   Tara Woud
      • [R-sig-ME] false convergence of lmer model   Ben Bolker
  • [R-sig-ME] false convergence of lmer model   Highland Statistics Ltd
    • [R-sig-ME] false convergence of lmer model   Tara Woud
      • [R-sig-ME] false convergence of lmer model   Highland Statistics Ltd
• [R-sig-ME] test for significance of interaction in linear mixed models in nlme package in R   Gu Mi
  • [R-sig-ME] test for significance of interaction in linear mixed models in nlme package in R   Ben Bolker
• [R-sig-ME] Dealing with cyclic autocorrelation in a GAMM   Andrew Digby
• [R-sig-ME] Paternity data analysis problem   Moshiur Rahman
  • [R-sig-ME] Paternity data analysis problem   David Duffy
  • [R-sig-ME] Paternity data analysis problem   Moshiur Rahman
    • [R-sig-ME] Paternity data analysis problem   Ben Bolker
• [R-sig-ME] parameter expansion and rescaling with MCMCglmm   L.B.D. Raes
• [R-sig-ME] lme4 and PIRLS   Grace, Justin
  • [R-sig-ME] lme4 and PIRLS   Ben Bolker
    • [R-sig-ME] lme4 and PIRLS   Grace, Justin
      • [R-sig-ME] lme4 and PIRLS   Ben Bolker
• [R-sig-ME] extracting name of random slope from mer object   Daniel Ezra Johnson
  • [R-sig-ME] extracting name of random slope from mer object   ONKELINX, Thierry
    • [R-sig-ME] extracting name of random slope from mer object   Daniel Ezra Johnson
  • [R-sig-ME] extracting name of random slope from mer object   Sven Hohenstein
    • [R-sig-ME] extracting name of random slope from mer object   Sven Hohenstein
• [R-sig-ME] Error: In mer_finalize(ans) : false convergence (8)   Sarah Dryhurst
  • [R-sig-ME] Error: In mer_finalize(ans) : false convergence (8)   ONKELINX, Thierry
    • [R-sig-ME] Error: In mer_finalize(ans) : false convergence (8)   ONKELINX, Thierry
      • [R-sig-ME] Error: In mer_finalize(ans) : false convergence (8)   Sarah Dryhurst
      • [R-sig-ME] Error: In mer_finalize(ans) : false convergence (8)   ONKELINX, Thierry
      • [R-sig-ME] Error: In mer_finalize(ans) : false convergence (8)   Sarah Dryhurst
• [R-sig-ME] help with repeated measures, mixed effects analysis for count data   Thomson, Diane
• [R-sig-ME] Using a gamm4 model to predict estimates in new data   Grace, Justin
• [R-sig-ME] Hierarchical regression with partially nested variables   Fabio Valeri
  • [R-sig-ME] Hierarchical regression with partially nested variables   David Duffy
• [R-sig-ME] MCMCglmm ZIP longitudinal   Thomas Houslay
  • [R-sig-ME] MCMCglmm ZIP longitudinal   David Duffy
    • [R-sig-ME] MCMCglmm ZIP longitudinal   Thomas Houslay
  • [R-sig-ME] MCMCglmm ZIP longitudinal   David Atkins
• [R-sig-ME] Clarification of lme random effects syntax   AvianResearchDivision
  • [R-sig-ME] Clarification of lme random effects syntax   Ben Bolker
• [R-sig-ME] zero Inflation in glmmadmb   Ben Bolker
• [R-sig-ME] Nested random effect within fixed effect factor?   Kristofor Voss
  • [R-sig-ME] Nested random effect within fixed effect factor?   ONKELINX, Thierry
    • [R-sig-ME] Nested random effect within fixed effect factor?   Kristofor Voss
      • [R-sig-ME] Nested random effect within fixed effect factor?   David Duffy
      • [R-sig-ME] Nested random effect within fixed effect factor?   Kristofor Voss
  • [R-sig-ME] Nested random effect within fixed effect factor?   David Duffy
    • [R-sig-ME] Nested random effect within fixed effect factor?   ONKELINX, Thierry
      • [R-sig-ME] Nested random effect within fixed effect factor?   Kristofor Voss
• [R-sig-ME] Mixed Models - remedy for pseudoreplication?   Jens Oldeland
  • [R-sig-ME] Mixed Models - remedy for pseudoreplication?   ONKELINX, Thierry
    • [R-sig-ME] Mixed Models - remedy for pseudoreplication?   Jens Oldeland
      • [R-sig-ME] Mixed Models - remedy for pseudoreplication?   ONKELINX, Thierry
      • [R-sig-ME] Mixed Models - remedy for pseudoreplication?   Jens Oldeland
• [R-sig-ME] Using a gamm4 model to predict estimates in new [SEC=UNCLASSIFIED]   Grace, Justin
  • [R-sig-ME] Using a gamm4 model to predict estimates in new [SEC=UNCLASSIFIED]   Ben Bolker
• [R-sig-ME] nbinom and nbinom1 in glmmADMB   Javier DelBarco Trillo
  • [R-sig-ME] nbinom and nbinom1 in glmmADMB   Ben Bolker
• [R-sig-ME] Quantifying uncertainty for predictions from lme4 (predict.merMod)   Tommaso Jucker
  • [R-sig-ME] Quantifying uncertainty for predictions from lme4 (predict.merMod)   Ben Bolker
  • [R-sig-ME] Quantifying uncertainty for predictions from lme4 (predict.merMod)   Tommaso Jucker
• [R-sig-ME] MCMCglmm fixed effects relative importance   Simon Ducatez
• [R-sig-ME] Question on mixed models, pseudoreplication and inflated degrees of freedom   Tom Wenseleers
  • [R-sig-ME] Question on mixed models, pseudoreplication and inflated degrees of freedom   ONKELINX, Thierry
• [R-sig-ME] (no subject)   agung k
  • [R-sig-ME] (no subject)   Joe Hightower
• [R-sig-ME] Quantifying uncertainty for predictions from lme4 [SEC=UNCLASSIFIED]   Steve Candy
• [R-sig-ME] bootMer bug?   Michael Kubovy
• [R-sig-ME] Fwd: [R] Bayesian Variance Components Estimation   li li
  • [R-sig-ME] [R] Bayesian Variance Components Estimation   li li
• [R-sig-ME] bootMer/simulate with factor response variable   Ben Bolker
• [R-sig-ME] Help with SIAR MODEL, PLEASE!!!   monica yanira rodríguez pérez
  • [R-sig-ME] Help with SIAR MODEL, PLEASE!!!   Ben Bolker
  • [R-sig-ME] Help with SIAR MODEL, PLEASE!!!   Monica Yanira ROdriguez Perez
    • [R-sig-ME] Help with SIAR MODEL, PLEASE!!!   S Ellison
• [R-sig-ME] Analysis of repeated measures when fixed effect changes within-subjects?   Nicole Michel
  • [R-sig-ME] Analysis of repeated measures when fixed effect changeswithin-subjects?   David Duffy
• [R-sig-ME] [Lme4-authors] CIs for predicted values   Ben Bolker
• [R-sig-ME] Another bootMer bug? (after Ben Bolker's fix on Github, Aug 2, 9AM)   Michael Kubovy
• [R-sig-ME] Another bootMer bug? (after Ben Bolker's fix on Github, Aug 2, 9AM) [CORRECTION]   Michael Kubovy
  • [R-sig-ME] Another bootMer bug? (after Ben Bolker's fix on Github, Aug 2, 9AM) [CORRECTION]   Steve Walker
• [R-sig-ME] flying pigs: slight delay   Ben Bolker
  • [R-sig-ME] flying pigs: slight delay   Andrzej Galecki
    • [R-sig-ME] flying pigs: slight delay   Ben Bolker
• [R-sig-ME] cross-nested random structure in glmmPQL   Carina Dinkel
• [R-sig-ME] lmer fits model with counter-intuitive nesting?   Björn Lindström
  • [R-sig-ME] lmer fits model with counter-intuitive nesting?   Jake Westfall
    • [R-sig-ME] lmer fits model with counter-intuitive nesting?   Björn Lindström
      • [R-sig-ME] lmer fits model with counter-intuitive nesting?   ONKELINX, Thierry
• [R-sig-ME] Model selection for mgcv::gamm (using PQL)   Cornelia Oedekoven
  • [R-sig-ME] Model selection for mgcv::gamm (using PQL)   David Duffy
• [R-sig-ME] Analysis of unbalanced nested half-sib/full-sib design with MCMCglmm/lmer   David Boukal
  • [R-sig-ME] Analysis of unbalanced nested half-sib/full-sib designwith MCMCglmm/lmer   Dacvid Duffy
  • [R-sig-ME] Analysis of unbalanced nested half-sib/full-sib design with MCMCglmm/lmer   David Boukal
• [R-sig-ME] Fwd: Linear Mixed-Effects Models - lme() command   Domenico Di Carlo
  • [R-sig-ME] Fwd: Linear Mixed-Effects Models - lme() command   ONKELINX, Thierry
• [R-sig-ME] lmer( ) parameter estimates changing depending on dummy-code​d reference level   Alan Mishler
• [R-sig-ME] Calculating heritability using MCMCglmm without pedigree info   Zhao Jin
• [R-sig-ME] Analysis of unbalanced nested half-sib/full-sib, design with MCMCglmm/lmer   Gustaf Granath
• [R-sig-ME] inconsistent results between lme4 and lme4.0   Malcolm Fairbrother
  • [R-sig-ME] inconsistent results between lme4 and lme4.0   Kevin Wright
    • [R-sig-ME] inconsistent results between lme4 and lme4.0   Ben Bolker
• [R-sig-ME] AIC ranking and ML vs REML using glmer   Joanna Jack
  • [R-sig-ME] AIC ranking and ML vs REML using glmer   Joanna Jack
  • [R-sig-ME] AIC ranking and ML vs REML using glmer   Ben Bolker
    • [R-sig-ME] AIC ranking and ML vs REML using glmer   peter dalgaard
• [R-sig-ME] using nlme   Robert Corty
  • [R-sig-ME] using nlme   Ben Bolker
• [R-sig-ME] Fwd: RE: [R] errors with hurdle negative binomial mixed effect models   Ben Bolker
  • [R-sig-ME] [R] errors with hurdle negative binomial mixed effect models   Marta Lomas
• [R-sig-ME] glmmadmb and time-effects   Luca Corlatti
  • [R-sig-ME] glmmadmb and time-effects   Ben Bolker
    • [R-sig-ME] R: Re: glmmadmb and time-effects   Ben Bolker
• [R-sig-ME] glmmadmb and time-effect   Luca Corlatti
• [R-sig-ME] repeated measures lme question   Melissa Dawes
  • [R-sig-ME] repeated measures lme question   ONKELINX, Thierry
    • [R-sig-ME] repeated measures lme question   ONKELINX, Thierry
• [R-sig-ME] Parameter estimates and covariance structure in MCMCglmm   Adam Lendvai
  • [R-sig-ME] Parameter estimates and covariance structure in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] [R] errors with hurdle negative binomial mixed effect models   Marta Lomas
• [R-sig-ME] temporal autocorrelation in MCMCglmm   PO Monti
• [R-sig-ME] Post-hoc tests for model comparison, unbalanced binomial repeated data   Losecaat Vermeer, A.B. (Annabel)
• [R-sig-ME] Help with mixed models function   Cody Likavec
  • [R-sig-ME] Help with mixed models function   Hugo.Mildenberger at web.de
    • [R-sig-ME] Help with mixed models function   Cody Likavec
  • [R-sig-ME] Help with mixed models function   Cody Likavec
    • [R-sig-ME] Help with mixed models function   Hugo.Mildenberger at web.de
• [R-sig-ME] predictions to newdata by LMM through lmer   Tetsuya Michinaka
  • [R-sig-ME] predictions to newdata by LMM through lmer   Ben Bolker
• [R-sig-ME] prediction intervals (bands) with lme4   Alexander Bauer
  • [R-sig-ME] prediction intervals (bands) with lme4   Emmanuel Curis
• [R-sig-ME] predictions to newdata by LMM through lmer (Ben Bolker)   Tetsuya Michinaka
  • [R-sig-ME] predictions to newdata by LMM through lmer (Ben Bolker)   Ben Bolker
• [R-sig-ME] calculation of standard errors for fixed effects in glmer   Hans Tissot
  • [R-sig-ME] calculation of standard errors for fixed effects in glmer   Ben Bolker
• [R-sig-ME] lme: random effects for replicated growth curves   Adrien Combaz
  • [R-sig-ME] lme: random effects for replicated growth curves   Ben Bolker
    • [R-sig-ME] lme: random effects for replicated growth curves   David Duffy
    • [R-sig-ME] lme: random effects for replicated growth curves   Adrien Combaz
    • [R-sig-ME] lme: random effects for replicated growth curves   Ben Bolker
      • [R-sig-ME] lme: random effects for replicated growth curves   Adrien Combaz
• [R-sig-ME] Cross-Classified MLM for reliability study   Jack Wilkinson
  • [R-sig-ME] Cross-Classified MLM for reliability study   Stuart Luppescu
    • [R-sig-ME] Cross-Classified MLM for reliability study   Jack Wilkinson
• [R-sig-ME] Function help with lme and glht   Cody Likavec
• [R-sig-ME] lme4 1.0   Carl Von Ende
  • [R-sig-ME] lme4 1.0   Ben Bolker
    • [R-sig-ME] lme4 1.0   Joehanes, Roby (NIH/NHLBI) [F]
      • [R-sig-ME] lme4 1.0   Douglas Bates
• [R-sig-ME] Bug in afex, pbkrtest or lme4 in parametric bootstrapping?   Tom Wenseleers
  • [R-sig-ME] Bug in afex, pbkrtest or lme4 in parametric bootstrapping?   Henrik Singmann
    • [R-sig-ME] Bug in afex, pbkrtest or lme4 in parametric bootstrapping?   Tom Wenseleers
      • [R-sig-ME] Bug in afex, pbkrtest or lme4 in parametric bootstrapping?   Henrik Singmann
  • [R-sig-ME] Bug in afex, pbkrtest or lme4 in parametric bootstrapping?   Tom Wenseleers
    • [R-sig-ME] Bug in afex, pbkrtest or lme4 in parametric bootstrapping?   Søren Højsgaard
    • [R-sig-ME] Bug in afex, pbkrtest or lme4 in parametric bootstrapping?   Ben Bolker
      • [R-sig-ME] Bug in afex, pbkrtest or lme4 in parametric bootstrapping?   Henrik Singmann
      • [R-sig-ME] Bug in afex, pbkrtest or lme4 in parametric bootstrapping?   Ben Bolker
      • [R-sig-ME] Bug in afex, pbkrtest or lme4 in parametric bootstrapping?   Søren Højsgaard
• [R-sig-ME] Help with Interpretation of LMER Output   AvianResearchDivision
  • [R-sig-ME] Help with Interpretation of LMER Output   AvianResearchDivision
• [R-sig-ME] Help with Interpretation of LMER Output--Correctly Formatted Post (I Hope)   AvianResearchDivision
  • [R-sig-ME] Help with Interpretation of LMER Output--Correctly Formatted Post (I Hope)   Ben Bolker
• [R-sig-ME] Mean Centering Data in Linear Mixed Models   AvianResearchDivision
  • [R-sig-ME] Mean Centering Data in Linear Mixed Models   Joshua Wiley
    • [R-sig-ME] Mean Centering Data in Linear Mixed Models   AvianResearchDivision
      • [R-sig-ME] Mean Centering Data in Linear Mixed Models   Joshua Wiley
      • [R-sig-ME] Mean Centering Data in Linear Mixed Models   Chris Howden
  • [R-sig-ME] Mean Centering Data in Linear Mixed Models   Hufthammer, Karl Ove
• [R-sig-ME] How to extract the variance of interaction from lme   Tal Lahav
  • [R-sig-ME] How to extract the variance of interaction from lme   Ben Bolker
• [R-sig-ME] Overdispersion and model selection: glmmadmb vs. glmer   Luca Corlatti
  • [R-sig-ME] Overdispersion and model selection: glmmadmb vs. glmer   Paul Johnson
    • [R-sig-ME] R: RE: Overdispersion and model selection: glmmadmb vs. glmer   Luca Corlatti
      • [R-sig-ME] R: RE: Overdispersion and model selection: glmmadmb vs. glmer   Paul Johnson
      • [R-sig-ME] R: Re: R: RE: Overdispersion and model selection: glmmadmb vs. glmer   Luca Corlatti
      • [R-sig-ME] Overdispersion and model selection: glmmadmb vs. glmer   Paul Johnson
      • [R-sig-ME] Overdispersion and model selection: glmmadmb vs. glmer   Paul Johnson
      • [R-sig-ME] Overdispersion and model selection: glmmadmb vs. glmer   Paul Johnson
      • [R-sig-ME] R: Re: Overdispersion and model selection: glmmadmb vs. glmer   Luca Corlatti
  • [R-sig-ME] Overdispersion and model selection: glmmadmb vs. glmer   David Duffy
• [R-sig-ME] lmer function 40 lakes 3 lake zone   Belyaeva Anna
  • [R-sig-ME] lmer function 40 lakes 3 lake zone   ONKELINX, Thierry
  • [R-sig-ME] lmer function 40 lakes 3 lake zone   ONKELINX, Thierry
• [R-sig-ME] Overdispersion and model selection: glmmadmb vs. [SEC=UNCLASSIFIED]   Steve Candy
  • [R-sig-ME] Overdispersion and model selection: glmmadmb vs. [SEC=UNCLASSIFIED]   Steve Candy
• [R-sig-ME] Partial correlation test   Moshiur Rahman
  • [R-sig-ME] Partial correlation test   Moshiur Rahman
• [R-sig-ME] Quadratic time and ceiling effects?   Douglas Bates
• [R-sig-ME] Error bars for treatment interactions in Gaussian and Binomial mixed models   Sarah Dryhurst
  • [R-sig-ME] Error bars for treatment interactions in Gaussian and Binomial mixed models   John Fox
    • [R-sig-ME] Error bars for treatment interactions in Gaussian and Binomial mixed models   Tom Wenseleers
      • [R-sig-ME] Error bars for treatment interactions in Gaussian and Binomial mixed models   Sarah Dryhurst
• [R-sig-ME] Question on estimating intraclass correlation (and significance and confidence intervals) with binomial data using mixed model and/or GEE   Tom Wenseleers
  • [R-sig-ME] Question on estimating intraclass correlation (and significance and confidence intervals) with binomial data using mixed model and/or GEE   ian m s white
    • [R-sig-ME] Question on estimating intraclass correlation (and significance and confidence intervals) with binomial data using mixed model and/or GEE   Tom Wenseleers
  • [R-sig-ME] Question on estimating intraclass correlation (and significance and confidence intervals) with binomial data using mixed model and/or GEE   Tom Wenseleers
    • [R-sig-ME] Question on estimating intraclass correlation (and significance and confidence intervals) with binomial data using mixed model and/or GEE   Ben Bolker
    • [R-sig-ME] Question on estimating intraclass correlation (and significance and confidence intervals) with binomial data using mixed model and/or GEE   David Duffy
  • [R-sig-ME] Question on estimating intraclass correlation (and significance and confidence intervals) with binomial data using mixed model and/or GEE   Tom Wenseleers
    • [R-sig-ME] Question on estimating intraclass correlation (and significance and confidence intervals) with binomial data using mixed model and/or GEE   Ben Bolker
      • [R-sig-ME] Question on estimating intraclass correlation (and significance and confidence intervals) with binomial data using mixed model and/or GEE   Muldoon, Ariel
• [R-sig-ME] Seeking advice on Mixed Effect Poisson model with R   Douglas Bates
• [R-sig-ME] Extracting Random Effects and Variances of Each Group from the Poisson Model   Lijun Chen
  • [R-sig-ME] Extracting Random Effects and Variances of Each Group from the Poisson Model   Hans Ekbrand
    • [R-sig-ME] Extracting Random Effects and Variances of Each Group from the Poisson Model   Ben Bolker
• [R-sig-ME] Test of random effect   Torvon
  • [R-sig-ME] Test of random effect   Philippi, Tom
    • [R-sig-ME] Test of random effect   Torvon
      • [R-sig-ME] Test of random effect   Philippi, Tom
• [R-sig-ME] Fwd: Re: Help with Interpretation of LMER Output--Correctly Formatted Post (I Hope)   Ben Bolker
  • [R-sig-ME] Help with Interpretation of LMER Output--Correctly Formatted Post (I Hope)   AvianResearchDivision
    • [R-sig-ME] Help with Interpretation of LMER Output--Correctly Formatted Post (I Hope)   Ben Bolker
• [R-sig-ME] error message in glmmADMB   Marcela Rodriguero
  • [R-sig-ME] error message in glmmADMB   Ben Bolker
• [R-sig-ME] prediction intervals and lmer   Muldoon, Ariel
  • [R-sig-ME] prediction intervals and lmer   Ben Bolker
    • [R-sig-ME] prediction intervals and lmer   Muldoon, Ariel
• [R-sig-ME] about version of lme4 and R   Tetsuya Michinaka
• [R-sig-ME] mgcv: 3D tensor product smoothers and ti()   Mark Payne
  • [R-sig-ME] mgcv: 3D tensor product smoothers and ti()   Ben Bolker
• [R-sig-ME] lmer (lme4) predictions and confidence interval, help with existing code   Ron Stone
  • [R-sig-ME] lmer (lme4) predictions and confidence interval, help with existing code   Ben Bolker
• [R-sig-ME] Replication in nested mixed model structure, how much?   Stephen T
• [R-sig-ME] (in plain text) Replication in nested structure, how much?   Stephen T
  • [R-sig-ME] (in plain text) Replication in nested structure, how much?   Ben Bolker
• [R-sig-ME] Do “true” multi-level models require Bayesian methods?   Michael Wojnowicz
  • [R-sig-ME] Do “true” multi-level models require Bayesian methods?   Jake Westfall
    • [R-sig-ME] Do "true" multi-level models require Bayesian methods?   Steven J. Pierce
  • [R-sig-ME] Do “true” multi-level models require Bayesian methods?   David Duffy
• [R-sig-ME] PS   Michael Wojnowicz
• [R-sig-ME] lmer: parametric bootstrap versus mcmcsamp   Gustaf Granath
  • [R-sig-ME] lmer: parametric bootstrap versus mcmcsamp   Gustaf Granath
    • [R-sig-ME] lmer: parametric bootstrap versus mcmcsamp   Ben Bolker
  • [R-sig-ME] lmer: parametric bootstrap versus mcmcsamp   Gustaf Granath
• [R-sig-ME] Do ?true? multi-level models require Bayesian methods?   Corey Sparks
• [R-sig-ME] (G)LMM for radian/phase data   Tobias Heed
  • [R-sig-ME] (G)LMM for radian/phase data   Titus von der Malsburg
  • [R-sig-ME] (G)LMM for radian/phase data   ian m s white
    • [R-sig-ME] (G)LMM for radian/phase data   Tobias Heed
      • [R-sig-ME] (G)LMM for radian/phase data   Peter Dixon
  • [R-sig-ME] (G)LMM for radian/phase data   Mitchell Maltenfort
  • [R-sig-ME] (G)LMM for radian/phase data   Miloš Žarković
• [R-sig-ME] MCMCglmm with exponential family   Iain Stott
  • [R-sig-ME] MCMCglmm with exponential family   Ben Bolker
  • [R-sig-ME] MCMCglmm with exponential family   Iain Stott
    • [R-sig-ME] MCMCglmm with exponential family   Joshua Wiley
• [R-sig-ME] lme4 dev github version   Gustaf Granath
  • [R-sig-ME] lme4 dev github version   Ben Bolker
  • [R-sig-ME] lme4 dev github version   Gustaf Granath
    • [R-sig-ME] lme4 dev github version   Ben Bolker
      • [R-sig-ME] lme4 dev github version   Ben Bolker
• [R-sig-ME] Presenting results of a mixed model containing factors   Sarah Dryhurst
  • [R-sig-ME] Presenting results of a mixed model containing factors   Ben Bolker
    • [R-sig-ME] Presenting results of a mixed model containing factors   Sarah Dryhurst
      • [R-sig-ME] Presenting results of a mixed model containing factors   Ben Bolker
      • [R-sig-ME] Presenting results of a mixed model containing factors   Sarah Dryhurst
      • [R-sig-ME] Presenting results of a mixed model containing factors   Henrik Singmann
      • [R-sig-ME] Presenting results of a mixed model containing factors   Sarah Dryhurst
      • [R-sig-ME] Presenting results of a mixed model containing factors   Henrik Singmann
      • [R-sig-ME] Presenting results of a mixed model containing factors   Sarah Dryhurst
• [R-sig-ME] using correlation compound structure: how to incorporate multiple random effects?   Meredith, Christy S -FS
• [R-sig-ME] GLM question about chi-square and LLH   Torvon
  • [R-sig-ME] GLM question about chi-square and LLH   Ben Bolker
• [R-sig-ME] Interpreting results of a mixed model   Elizabeth Beck
  • [R-sig-ME] Interpreting results of a mixed model   Ben Bolker
• [R-sig-ME] lmer and classical Expected Mean Squares   Patrick Ward
  • [R-sig-ME] lmer and classical Expected Mean Squares   Michael Kubovy
  • [R-sig-ME] lmer and classical Expected Mean Squares   Lenth, Russell V
    • [R-sig-ME] lmer and classical Expected Mean Squares   Steven McKinney
• [R-sig-ME] glmm (binomial, logit) with transformed/scaled predictors   Johannes Radinger
  • [R-sig-ME] glmm (binomial, logit) with transformed/scaled predictors   Ben Bolker
  • [R-sig-ME] glmm (binomial, logit) with transformed/scaled predictors   Johannes Radinger
• [R-sig-ME] Obtaining the variance-covariance matrix for mixed-model averaged parameters   Paul Mensink
  • [R-sig-ME] Obtaining the variance-covariance matrix for mixed-model averaged parameters   Ben Bolker
• [R-sig-ME] random coefficient model with time: how to interpret when time is not a fixed effect?   Meredith, Christy S -FS
• [R-sig-ME] LMER All factor level interactions & Std Dev   Emma Ajay
• [R-sig-ME] lmer: no warning messages in dev version   Gustaf Granath
  • [R-sig-ME] lmer: no warning messages in dev version   Ben Bolker
• [R-sig-ME] function for simulating from GLMM   Paul Johnson
  • [R-sig-ME] function for simulating from GLMM   Paul Johnson
• [R-sig-ME] Standard errors for predictions of logistic GLMM   Ben Bolker
  • [R-sig-ME] Standard errors for predictions of logistic GLMM   Benjamin Chabot-Hanowell
• [R-sig-ME] How to extract variance components in lme4 1.0 ?   Kevin Wright
  • [R-sig-ME] How to extract variance components in lme4 1.0 ?   Ben Bolker
  • [R-sig-ME] How to extract variance components in lme4 1.0 ?   Ben Bolker
• [R-sig-ME] Modelling Multiple response in multivariate regression with extension to mixed effects models (multilevel)   Justice Moses K. Aheto
  • [R-sig-ME] Modelling Multiple response in multivariate regression with extension to mixed effects models (multilevel)   Pantelis Z. Hadjipantelis
  • [R-sig-ME] Modelling Multiple response in multivariate regression with extension to mixed effects models (multilevel)   Justice Moses K. Aheto
    • [R-sig-ME] Modelling Multiple response in multivariate regression with extension to mixed effects models (multilevel)   Pantelis Z. Hadjipantelis
• [R-sig-ME] Non-Parametric with Lme4   Ackley Lane
• [R-sig-ME] General Questions Regarding lmer Output   AvianResearchDivision
  • [R-sig-ME] General Questions Regarding lmer Output   Doran, Harold
    • [R-sig-ME] General Questions Regarding lmer Output   AvianResearchDivision
      • [R-sig-ME] General Questions Regarding lmer Output   Henrik Singmann
      • [R-sig-ME] General Questions Regarding lmer Output   Ben Bolker
      • [R-sig-ME] General Questions Regarding lmer Output   AvianResearchDivision
• [R-sig-ME] lme4.0   Viechtbauer Wolfgang (STAT)
  • [R-sig-ME] lme4.0   Ben Bolker
    • [R-sig-ME] lme4.0   Andrzej Galecki
      • [R-sig-ME] lme4.0   Ben Bolker
    • [R-sig-ME] lme4.0   Viechtbauer Wolfgang (STAT)
      • [R-sig-ME] lme4.0   Ben Bolker
• [R-sig-ME] gls for generalized linear model   ChenChun
  • [R-sig-ME] gls for generalized linear model   Julia Sommerfeld
    • [R-sig-ME] gls for generalized linear model   ChenChun
      • [R-sig-ME] gls for generalized linear model   Ben Bolker
  • [R-sig-ME] gls for generalized linear model   ONKELINX, Thierry
  • [R-sig-ME] gls for generalized linear model   Hufthammer, Karl Ove
• [R-sig-ME] Lack of Variation in Slopes   AvianResearchDivision
  • [R-sig-ME] Lack of Variation in Slopes   Ben Bolker
    • [R-sig-ME] Lack of Variation in Slopes   AvianResearchDivision
      • [R-sig-ME] Lack of Variation in Slopes   Ben Bolker
      • [R-sig-ME] Lack of Variation in Slopes   Ben Bolker
      • [R-sig-ME] Lack of Variation in Slopes   Jake Westfall
• [R-sig-ME] Question on calculating the conflidence limits on the intraclass correlation in a nested binomial mixed model   Tom Wenseleers
  • [R-sig-ME] Question on calculating the conflidence limits on the intraclass correlation in a nested binomial mixed model   ONKELINX, Thierry
    • [R-sig-ME] Question on calculating the conflidence limits on the intraclass correlation in a nested binomial mixed model   Tom Wenseleers
    • [R-sig-ME] Question on calculating the conflidence limits on the intraclass correlation in a nested binomial mixed model   Tom Wenseleers
• [R-sig-ME] gls for generalized linear model (ChenChun)   ChenChun
  • [R-sig-ME] gls for generalized linear model (ChenChun)   ChenChun
    • [R-sig-ME] gls for generalized linear model (ChenChun)   Ben Bolker
  • [R-sig-ME] gls for generalized linear model (ChenChun)   Ben Bolker
• [R-sig-ME] glmer optimization questions   Tobias Heed
  • [R-sig-ME] glmer optimization questions   Ben Bolker
    • [R-sig-ME] glmer optimization questions   Tobias Heed
      • [R-sig-ME] glmer optimization questions   Ben Bolker
      • [R-sig-ME] glmer optimization questions   Tobias Heed
      • [R-sig-ME] glmer optimization questions   Ben Bolker
• [R-sig-ME] generating contrasts from glmm.admb?   Maureen Durkin
• [R-sig-ME] Fwd: generating contrasts from glmm.admb?   Maureen Durkin
  • [R-sig-ME] Fwd: generating contrasts from glmm.admb?   Ben Bolker
  • [R-sig-ME] Fwd: generating contrasts from glmm.admb?   Maureen Durkin
• [R-sig-ME] cross posting an EOI from ANZSTAT [SEC=UNCLASSIFIED]   Gosse, Michelle
• [R-sig-ME] Model selection with lme4   Sarah Dryhurst
  • [R-sig-ME] Model selection with lme4   Ben Bolker
    • [R-sig-ME] Model selection with lme4   Sarah Dryhurst
• [R-sig-ME] Sum of squares discrepancy in lmer   Lenth, Russell V
  • [R-sig-ME] Sum of squares discrepancy in lmer   Douglas Bates
    • [R-sig-ME] Sum of squares discrepancy in lmer   Lenth, Russell V
• [R-sig-ME] Question about what is "shrinkage"...   Emmanuel Curis
  • [R-sig-ME] Question about what is "shrinkage"...   Daniel Wright
    • [R-sig-ME] Question about what is "shrinkage"...   Emmanuel Curis
      • [R-sig-ME] Question about what is "shrinkage"...   Daniel Wright
  • [R-sig-ME] Question about what is "shrinkage"...   Douglas Bates
  • [R-sig-ME] Question about what is "shrinkage"...   i white
• [R-sig-ME] EOI for R work using a mixed models approach [SEC=UNCLASSIFIED]   Gosse, Michelle
• [R-sig-ME] Obtaining fixed effect beta estimates for effects with 3+ levels   Nicole Michel
  • [R-sig-ME] Obtaining fixed effect beta estimates for effects with 3+ levels   Ista Zahn
• [R-sig-ME] Implausible estimate of random effects variance in lmer (lme4 devel version), sensible estimate in CRAN version   Marko Bachl
  • [R-sig-ME] Implausible estimate of random effects variance in lmer (lme4 devel version), sensible estimate in CRAN version   Marko Bachl
    • [R-sig-ME] Implausible estimate of random effects variance in lmer (lme4 devel version), sensible estimate in CRAN version   Kevin Wright
      • [R-sig-ME] Implausible estimate of random effects variance in lmer (lme4 devel version), sensible estimate in CRAN version   Ben Bolker
      • [R-sig-ME] Implausible estimate of random effects variance in lmer (lme4 devel version), sensible estimate in CRAN version   Marko Bachl
• [R-sig-ME] Nested Random Effects Model using lme4/lmer   Martin Turcotte
  • [R-sig-ME] Nested Random Effects Model using lme4/lmer   Gustaf Granath
• [R-sig-ME] Residual variance term in lmer with binomial error and observation-level random effect   Tina Wey
• [R-sig-ME] Random effects interactions in lmer   Stuart Luppescu
• [R-sig-ME] lme4 1.0-4 now on CRAN   Ben Bolker
  • [R-sig-ME] lme4 1.0-4 now on CRAN   Kevin Wright
  • [R-sig-ME] lme4 1.0-4 now on CRAN   Hufthammer, Karl Ove
    • [R-sig-ME] lme4 1.0-4 now on CRAN   Martin Maechler
      • [R-sig-ME] lme4 1.0-4 now on CRAN   Henrik Singmann
      • [R-sig-ME] lme4 1.0-4 now on CRAN   Douglas Bates
      • [R-sig-ME] lme4 1.0-4 now on CRAN   Hadley Wickham
      • [R-sig-ME] lme4 1.0-4 now on CRAN   Joshua Wiley
      • [R-sig-ME] lme4 1.0-4 now on CRAN   Douglas Bates
      • [R-sig-ME] lme4 1.0-4 now on CRAN   Henrik Singmann
    • [R-sig-ME] lme4 1.0-4 now on CRAN   Ben Bolker
      • [R-sig-ME] lme4 1.0-4 now on CRAN   Joshua Wiley
      • [R-sig-ME] lme4 1.0-4 now on CRAN   Ben Bolker
      • [R-sig-ME] lme4 1.0-4 now on CRAN   Joshua Wiley
  • [R-sig-ME] lme4 1.0-4 now on CRAN   Hufthammer, Karl Ove
    • [R-sig-ME] lme4 1.0-4 now on CRAN   Steve Walker
• [R-sig-ME] pwrssUpdate Error with new version of lme4   Johannes Radinger
  • [R-sig-ME] pwrssUpdate Error with new version of lme4   Steve Walker
  • [R-sig-ME] pwrssUpdate Error with new version of lme4   Ben Bolker
  • [R-sig-ME] pwrssUpdate Error with new version of lme4   Johannes Radinger
    • [R-sig-ME] pwrssUpdate Error with new version of lme4   Steve Walker
  • [R-sig-ME] pwrssUpdate Error with new version of lme4   Johannes Radinger
• [R-sig-ME] Schoenfield residual test for discrete time hazard model   Alexander Neustädter
• [R-sig-ME] Variance structure in mixed models   v_coudrain at voila.fr
  • [R-sig-ME] Variance structure in mixed models   Ben Bolker
  • [R-sig-ME] Variance structure in mixed models   v_coudrain at voila.fr
• [R-sig-ME] R-sig-mixed-models Digest, Vol 81, Issue 38   Johannes Radinger
• [R-sig-ME] why would using p-values of GLMM for distr other than Gaussian be correct?   Pablo Inchausti
  • [R-sig-ME] why would using p-values of GLMM for distr other than Gaussian be correct?   Joshua Wiley
    • [R-sig-ME] why would using p-values of GLMM for distr other than Gaussian be correct?   Pablo Inchausti
      • [R-sig-ME] why would using p-values of GLMM for distr other than Gaussian be correct?   Ben Bolker
      • [R-sig-ME] why would using p-values of GLMM for distr other than Gaussian be correct?   Joshua Wiley
• [R-sig-ME] Repeated measures within and across years   Kristen Dybala
  • [R-sig-ME] Repeated measures within and across years   Henrik Singmann
• [R-sig-ME] R-sig-mixed-models Digest, Vol 81, Issue 40   Johannes Radinger
  • [R-sig-ME] R-sig-mixed-models Digest, Vol 81, Issue 40   Ben Bolker
• [R-sig-ME] GAM & GAMM course   Highland Statistics Ltd
• [R-sig-ME] monitoring convergence in gamm4 (with the new lmer-1.0-4 modular functionality)   damian.collins at dpi.nsw.gov.au
  • [R-sig-ME] monitoring convergence in gamm4 (with the new lmer-1.0-4 modular functionality)   Steve Walker
  • [R-sig-ME] monitoring convergence in gamm4 (with the new lmer-1.0-4 modular functionality)   Steve Walker
• [R-sig-ME] about Glmm   xavier chevillot
• [R-sig-ME] Passing lme4 optimizer arguments to pbmodcomp and afex/mixed   Tom Wenseleers
  • [R-sig-ME] Passing lme4 optimizer arguments to pbmodcomp and afex/mixed   Ben Bolker
    • [R-sig-ME] Passing lme4 optimizer arguments to pbmodcomp and afex/mixed   Henrik Singmann
    • [R-sig-ME] Passing lme4 optimizer arguments to pbmodcomp and afex/mixed   Tom Wenseleers
      • [R-sig-ME] Passing lme4 optimizer arguments to pbmodcomp and afex/mixed   Tobias Heed
      • [R-sig-ME] Passing lme4 optimizer arguments to pbmodcomp and afex/mixed   Henrik Singmann
      • [R-sig-ME] Passing lme4 optimizer arguments to pbmodcomp and afex/mixed   Søren Højsgaard
      • [R-sig-ME] Passing lme4 optimizer arguments to pbmodcomp and afex/mixed   Tom Wenseleers
      • [R-sig-ME] Passing lme4 optimizer arguments to pbmodcomp and afex/mixed   Søren Højsgaard
• [R-sig-ME] help in GlmmPQL   xavier chevillot
  • [R-sig-ME] help in GlmmPQL   Ben Bolker
• [R-sig-ME] Maximum nAGQ=25?   Rafael Sauter
  • [R-sig-ME] Maximum nAGQ=25?   Ben Bolker
    • [R-sig-ME] Maximum nAGQ=25?   Ross Boylan
      • [R-sig-ME] Maximum nAGQ=25?   Ben Bolker
      • [R-sig-ME] Maximum nAGQ=25?   Ben Bolker
  • [R-sig-ME] Maximum nAGQ=25?   Rafael Sauter
    • [R-sig-ME] Maximum nAGQ=25?   David Duffy
• [R-sig-ME] overdispersion   Caro Recalde Ruiz
  • [R-sig-ME] overdispersion   Ben Bolker
• [R-sig-ME] Announcement: afex 0.6-82 now on CRAN   Henrik Singmann
• [R-sig-ME] R-sig-mixed-models Digest, Vol 81, Issue 51   Rafael Sauter
• [R-sig-ME] glmmadmb help   Younes Mouatassim
  • [R-sig-ME] Fwd: glmmadmb help   Ben Bolker
• [R-sig-ME] GLMM doesn't do what it is supposed to (wrong results).   Van De Walle, Joanie
  • [R-sig-ME] GLMM doesn't do what it is supposed to (wrong results).   Jake Westfall
    • [R-sig-ME] GLMM doesn't do what it is supposed to (wrong results).   Ben Bolker
• [R-sig-ME] R-sig-mixed-models Digest, Vol 81, Issue 50   xavier chevillot
  • [R-sig-ME] R-sig-mixed-models Digest, Vol 81, Issue 50   ONKELINX, Thierry
• [R-sig-ME] glmmADMB   Gustavo Romero

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Archived on: Mon Sep 30 23:49:00 CEST 2013

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