Second quarter 2014 Archives by thread

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Starting: Tue Apr 1 00:44:18 CEST 2014
Ending: Fri Jun 27 13:51:39 CEST 2014
Messages: 354

• [R-sig-ME] R-sig-mixed-models Digest, Vol 87, Issue 34   Malcolm Fairbrother
• [R-sig-ME] Simulating hierarchical data with correlated errors   Raluca Gui
  • [R-sig-ME] Simulating hierarchical data with correlated errors   Greg Snow
  • [R-sig-ME] Simulating hierarchical data with correlated errors   Raluca Gui
• [R-sig-ME] lme4 with simulated hierarchical data with correlated errors   Raluca Gui
  • [R-sig-ME] lme4 with simulated hierarchical data with correlated errors   Ben Bolker
    • [R-sig-ME] lme4 with simulated hierarchical data with correlated errors   Markus Jäntti
• [R-sig-ME] summary fn zero-inflated MCMC models.   Hodsoll, John
• [R-sig-ME] Including Nested Factor in Repeated Measures Logistic Regression   Maxwell Elliott
  • [R-sig-ME] Including Nested Factor in Repeated Measures Logistic Regression   Maxwell Elliott
    • [R-sig-ME] Including Nested Factor in Repeated Measures Logistic Regression   ian m s white
      • [R-sig-ME] Including Nested Factor in Repeated Measures Logistic Regression   Maxwell Elliott
• [R-sig-ME] Use of offset variable when analysing rates in lme4   De Waal, C, Mej <caroli at sun.ac.za>
  • [R-sig-ME] Use of offset variable when analysing rates in lme4   ONKELINX, Thierry
  • [R-sig-ME] Use of offset variable when analysing rates in lme4   Åström, Jens
    • [R-sig-ME] Use of offset variable when analysing rates in lme4   Caroli
• [R-sig-ME] lme4/glmer convergence warnings   W Robert Long
  • [R-sig-ME] lme4/glmer convergence warnings   W Robert Long
    • [R-sig-ME] lme4/glmer convergence warnings   Ben Bolker
      • [R-sig-ME] lme4/glmer convergence warnings   W Robert Long
      • [R-sig-ME] lme4/glmer convergence warnings   W Robert Long
      • [R-sig-ME] lme4/glmer convergence warnings   Tibor Kiss
      • [R-sig-ME] lme4/glmer convergence warnings   Ben Bolker
      • [R-sig-ME] lme4/glmer convergence warnings   Ben Bolker
      • [R-sig-ME] lme4/glmer convergence warnings   W Robert Long
      • [R-sig-ME] lme4/glmer convergence warnings   Ben Bolker
      • [R-sig-ME] lme4/glmer convergence warnings   W Robert Long
      • [R-sig-ME] lme4/glmer convergence warnings   Ben Bolker
      • [R-sig-ME] lme4/glmer convergence warnings   W Robert Long
  • [R-sig-ME] lme4/glmer convergence warnings   Corey Sparks
    • [R-sig-ME] lme4/glmer convergence warnings   Ben Bolker
      • [R-sig-ME] lme4/glmer convergence warnings   Paul Johnson
• [R-sig-ME] lme4 convergence warnings and confirmatory path analysis with hierarchical data   Margaret Metz
  • [R-sig-ME] lme4 convergence warnings and confirmatory path analysis with hierarchical data   Ben Bolker
• [R-sig-ME] Stats courses in Australia   Highland Statistics Ltd
• [R-sig-ME] interpreting interactions   Joshua Hartshorne
  • [R-sig-ME] interpreting interactions   Ben Bolker
    • [R-sig-ME] interpreting interactions   Jonathan Baron
      • [R-sig-ME] interpreting interactions   Jonathan Baron
      • [R-sig-ME] interpreting interactions   Jonathan Baron
• [R-sig-ME] glmer output   Moshiur Rahman
  • [R-sig-ME] glmer output   Krause, R.W. (Robert)
• [R-sig-ME] Query on predicting from GLMM to new data with a different range of values of the random term   Alice Jones
  • [R-sig-ME] Query on predicting from GLMM to new data with a different range of values of the random term   ONKELINX, Thierry
• [R-sig-ME] questions about how to incorporate survey weights into multilevel model and etc.   Sang Won Han
  • [R-sig-ME] questions about how to incorporate survey weights into multilevel model and etc.   Corey Sparks
• [R-sig-ME] Logarithmic Mixed Models?   AvianResearchDivision
  • [R-sig-ME] Logarithmic Mixed Models?   Ben Bolker
  • [R-sig-ME] Logarithmic Mixed Models?   Friso Muijsers
• [R-sig-ME] lme4 and solve(Hessian, gradient) check: Discrepancies between AMD/Intel/32bit/64bit?   Tom Davis
• [R-sig-ME] Reconciling Near Identical AIC Values and Highly Significant P Value   AvianResearchDivision
  • [R-sig-ME] Reconciling Near Identical AIC Values and Highly Significant P Value   Emmanuel Curis
    • [R-sig-ME] Reconciling Near Identical AIC Values and Highly Significant P Value   AvianResearchDivision
      • [R-sig-ME] Reconciling Near Identical AIC Values and Highly Significant P Value   Ben Bolker
• [R-sig-ME] Reconciling Near Identical AIC Values and Highly   Elizabeth Crone
• [R-sig-ME] Individual coef() not congruent with panel plot of data   AvianResearchDivision
  • [R-sig-ME] Individual coef() not congruent with panel plot of data   AvianResearchDivision
  • [R-sig-ME] Individual coef() not congruent with panel plot of data   AvianResearchDivision
• [R-sig-ME] difficulty fitting a model with nlme()   Anne Hoen
• [R-sig-ME] Reconciling Near Identical AIC Values and Highly Significant P Value (Ben Bolker)   Ed Merkle
• [R-sig-ME] MCMC prior issues   David Bradley
  • [R-sig-ME] MCMC prior issues   Ben Bolker
• [R-sig-ME] sum coding, omnibus tests for GLMMs, and pvalues for LMMs   David Sears
  • [R-sig-ME] sum coding, omnibus tests for GLMMs, and pvalues for LMMs   Ramon Diaz-Uriarte
• [R-sig-ME] Power Analysis for Linear Mixed Model with Covariates   Gerasimos Fergadiotis
  • [R-sig-ME] Power Analysis for Linear Mixed Model with Covariates   Ben Bolker
  • [R-sig-ME] Power Analysis for Linear Mixed Model with Covariates   Gerasimos Fergadiotis
    • [R-sig-ME] Power Analysis for Linear Mixed Model with Covariates   Steve Walker
  • [R-sig-ME] Power Analysis for Linear Mixed Model with Covariates   Gerasimos Fergadiotis
    • [R-sig-ME] Power Analysis for Linear Mixed Model with Covariates   Ben Bolker
  • [R-sig-ME] Power Analysis for Linear Mixed Model with Covariates   Gerasimos Fergadiotis
    • [R-sig-ME] Power Analysis for Linear Mixed Model with Covariates   Ulf Köther
• [R-sig-ME] hard in lmer(),how to set parameter in lmer()   王唯
  • [R-sig-ME] hard in lmer(),how to set parameter in lmer()   Ben Bolker
• [R-sig-ME] Model selection GLM vs. GLMMs   Nelida Villasenor
  • [R-sig-ME] Model selection GLM vs. GLMMs   Ben Bolker
• [R-sig-ME] Installing an old version of lme4 (v 0.999999-2)   Javan Bauder
  • [R-sig-ME] Installing an old version of lme4 (v 0.999999-2)   Ben Bolker
• [R-sig-ME] Is this a legitimate approach   Junyan Luo
• [R-sig-ME] Model specification (fixed and random effects)?   Yla Savh
  • [R-sig-ME] Model specification (fixed and random effects)?   ONKELINX, Thierry
• [R-sig-ME] Mixed-effects conditional logistic regression in lme4 v. 1.0-4 and above   Javan Bauder
  • [R-sig-ME] Mixed-effects conditional logistic regression in lme4 v. 1.0-4 and above   Ben Bolker
  • [R-sig-ME] Mixed-effects conditional logistic regression in lme4 v. 1.0-4 and above   Ben Bolker
• [R-sig-ME] error distribution or transformation for Acid-neutralizing-capacity (ANC)   Brooks Miner
  • [R-sig-ME] error distribution or transformation for Acid-neutralizing-capacity (ANC)   Ewart Thomas
    • [R-sig-ME] error distribution or transformation for Acid-neutralizing-capacity (ANC)   ONKELINX, Thierry
• [R-sig-ME] example of confidence intervals for predicted values?   Paul Johnson
• [R-sig-ME] Calculate % Variance Attributed to Random Slopes (Phenotypic Plasticity)   AvianResearchDivision
  • [R-sig-ME] Calculate % Variance Attributed to Random Slopes (Phenotypic Plasticity)   Jake Westfall
    • [R-sig-ME] Calculate % Variance Attributed to Random Slopes (Phenotypic Plasticity)   Paul Johnson
• [R-sig-ME] multinomial model with MCMCglmm by using gelman.prior   Saussac Mathilde
• [R-sig-ME] Profile likelihood using R2admb   Stirrup, Oliver
  • [R-sig-ME] Profile likelihood using R2admb   Ben Bolker
  • [R-sig-ME] Profile likelihood using R2admb   Stirrup, Oliver
    • [R-sig-ME] Profile likelihood using R2admb   Ben Bolker
• [R-sig-ME] Fitting Non linear mixed effects models   Ernest William Mauya
• [R-sig-ME] Should I use GLMM?   Rodrigo Tardin
  • [R-sig-ME] Should I use GLMM?   Ben Bolker
• [R-sig-ME] reporting parameter estimates for factors using sum/deviation coding   David Sears
• [R-sig-ME] error message in pamer.fnc   xiaoming jiang
• [R-sig-ME] glmerMod with covariance matrix set to 0?   Elizabeth Crone
  • [R-sig-ME] glmerMod with covariance matrix set to 0?   Ben Bolker
    • [R-sig-ME] new syntax for lme ?   Gabriel Baud-Bovy
• [R-sig-ME] Fwd: Multi Processor / lme4   Ben Bolker
  • [R-sig-ME] Fwd: Multi Processor / lme4   Nathan Doogan
    • [R-sig-ME] Fwd: Multi Processor / lme4   Douglas Bates
  • [R-sig-ME] Multi Processor / lme4   Doogan, Nathan
    • [R-sig-ME] Multi Processor / lme4   Ben Bolker
      • [R-sig-ME] Multi Processor / lme4   Doogan, Nathan
• [R-sig-ME] [R] lme4 Error Help: “maxstephalfit…pwrssUpdate”   ONKELINX, Thierry
  • [R-sig-ME] [R] lme4 Error Help: “maxstephalfit…pwrssUpdate”   Craig O'Connell
    • [R-sig-ME] [R] lme4 Error Help: “maxstephalfit…pwrssUpdate”   Ben Bolker
• [R-sig-ME] FW: linear mixed model for non-normal negative and continous data   Caroline Lustenberger
  • [R-sig-ME] FW: linear mixed model for non-normal negative andcontinous dataa   Titus von der Malsburg
  • [R-sig-ME] FW: linear mixed model for non-normal negative and continous data   Simon Blomberg
• [R-sig-ME] [R] linear mixed model for non-normal negative and continous data   ONKELINX, Thierry
• [R-sig-ME] confint.merMod() problem.   Zaslavsky, Alan M.
  • [R-sig-ME] confint.merMod() problem.   Ben Bolker
• [R-sig-ME] Comparison of 2 treatments   Hamada Elsayed Ali
  • [R-sig-ME] Comparison of 2 treatments   Ben Bolker
• [R-sig-ME] gamm4 error with large dataset   Daniel Hocking
  • [R-sig-ME] gamm4 error with large dataset   Ben Bolker
    • [R-sig-ME] gamm4 error with large dataset   Ben Bolker
  • [R-sig-ME] gamm4 error with large dataset   Daniel Hocking
• [R-sig-ME] previous posts about error message in glmmADMB   Lena
  • [R-sig-ME] previous posts about error message in glmmADMB   Lena
• [R-sig-ME] MCMCglmm: starting values and variance explained by random effects   Mieke Zwart
  • [R-sig-ME] MCMCglmm: starting values and variance explained by random effects   Jarrod Hadfield
    • [R-sig-ME] MCMCglmm: starting values and variance explained by random effects   Mieke Zwart
• [R-sig-ME] extract specific values from lmer summary   Ben Bolker
• [R-sig-ME] [Lme4-authors] Fixing the level 1 residual variance   Ben Bolker
  • [R-sig-ME] [Lme4-authors] Fixing the level 1 residual variance   Douglas Bates
    • [R-sig-ME] [Lme4-authors] Fixing the level 1 residual variance   Ben Bolker
• [R-sig-ME] standardized coefficients in lme4 package   Simon Sun
  • [R-sig-ME] standardized coefficients in lme4 package   Andrea Cantieni
• [R-sig-ME] Why do extremely similar parametric bootstraps on lmer() objects yield (not only marginally) different results?   Christian Brauner
  • [R-sig-ME] Why do extremely similar parametric bootstraps on lmer() objects yield (not only marginally) different results?   Ben Bolker
    • [R-sig-ME] Why do extremely similar parametric bootstraps on lmer() objects yield (not only marginally) different results?   Christian Brauner
      • [R-sig-ME] Why do extremely similar parametric bootstraps on lmer() objects yield (not only marginally) different results?   Christian Brauner
• [R-sig-ME] BOBYQA warning message   Devin Kearns
  • [R-sig-ME] BOBYQA warning message   Ben Bolker
• [R-sig-ME] p values for random effects in an unbalanced nested mixed model   Stacey Williams
  • [R-sig-ME] p values for random effects in an unbalanced nested mixed model   Lionel
• [R-sig-ME] Fwd: Re: extract specific values from lmer summary   Ben Bolker
• [R-sig-ME] glmmADMB zero-inflated poisson model. How to solve   laura laura
  • [R-sig-ME] glmmADMB zero-inflated poisson model. How to solve   ONKELINX, Thierry
• [R-sig-ME] Accessing and updating lmer objects   Asaf Weinstein
  • [R-sig-ME] Accessing and updating lmer objects   Ben Bolker
    • [R-sig-ME] Accessing and updating lmer objects   Vincent Dorie
      • [R-sig-ME] Accessing and updating lmer objects   Ben Bolker
• [R-sig-ME] pedigreemm with one observation per individual   Witold Proskura
  • [R-sig-ME] pedigreemm with one observation per individual   Ben Bolker
• [R-sig-ME] conditional AIC (cAIC) for lmer   John.Morrongiello at csiro.au
  • [R-sig-ME] conditional AIC (cAIC) for lmer   Corey Sparks
• [R-sig-ME] difference in lmer results with REML = FALSE and refitML   Henrik Singmann
  • [R-sig-ME] difference in lmer results with REML = FALSE and refitML   Ben Bolker
• [R-sig-ME] Zero alteration and mixed models?   Kirsty Gurney
  • [R-sig-ME] Zero alteration and mixed models?   Ben Bolker
• [R-sig-ME] lme4 question   Francis, David
  • [R-sig-ME] lme4 question   Ben Bolker
• [R-sig-ME] Significance of fixed effects. Kinship package (Marc Moragues)   Witold Proskura
  • [R-sig-ME] Significance of fixed effects. Kinship package (Marc Moragues)   Ben Bolker
• [R-sig-ME] Can an uninformative prior be too diffuse?   Iain Stott
  • [R-sig-ME] Can an uninformative prior be too diffuse?   Jarrod Hadfield
    • [R-sig-ME] Can an uninformative prior be too diffuse?   Iain Stott
• [R-sig-ME] glmer syntax for model with "common" random effects   orzack at freshpond.org
  • [R-sig-ME] glmer syntax for model with "common" random effects   ONKELINX, Thierry
    • [R-sig-ME] glmer syntax for model with "common" random effects   ONKELINX, Thierry
      • [R-sig-ME] glmer syntax for model with "common" random effects   Martin Stjernman
    • [R-sig-ME] glmer syntax for model with "common" random effects   ONKELINX, Thierry
• [R-sig-ME] Diagnosing Overdispersion in Mixed Models with Parametric Bootstrapping   Xavier Harrison
  • [R-sig-ME] Diagnosing Overdispersion in Mixed Models with Parametric Bootstrapping   Ben Bolker
  • [R-sig-ME] Diagnosing Overdispersion in Mixed Models with Parametric Bootstrapping   Xavier Harrison
• [R-sig-ME] Assumptions of GLMMs   Baggett, Aaron
  • [R-sig-ME] Assumptions of GLMMs   Ben Bolker
    • [R-sig-ME] Assumptions of GLMMs   Henrik Singmann
• [R-sig-ME] Doubts about models in glmmADMB   Carlos Barboza
  • [R-sig-ME] Doubts about models in glmmADMB   Ben Bolker
  • [R-sig-ME] Doubts about models in glmmADMB   Carlos Barboza
    • [R-sig-ME] Doubts about models in glmmADMB   Ben Bolker
      • [R-sig-ME] Doubts about models in glmmADMB   Carlos Barboza
• [R-sig-ME] accounting for overdispersion in binary GLMM in lme4   Thomas Merkling
  • [R-sig-ME] accounting for overdispersion in binary GLMM in lme4   Ben Bolker
• [R-sig-ME] ANOVA type lll ss table for GLMER?   Heather Moylett
  • [R-sig-ME] ANOVA type lll ss table for GLMER?   Henrik Singmann
    • [R-sig-ME] ANOVA type lll ss table for GLMER?   Ben Bolker
      • [R-sig-ME] ANOVA type lll ss table for GLMER?   Henrik Singmann
• [R-sig-ME] Wrong convergence warnings with glmer in lme4 version 1.1-6??   UG
  • [R-sig-ME] Wrong convergence warnings with glmer in lme4 version 1.1-6??   Ben Bolker
• [R-sig-ME] error en glmmadmb   CRISTINA.COCCIA
• [R-sig-ME] fixed effects estimates too small in binomial GLMM with low "success"-rate   Henrik Singmann
  • [R-sig-ME] fixed effects estimates too small in binomial GLMM with low "success"-rate   Ben Bolker
    • [R-sig-ME] fixed effects estimates too small in binomial GLMM with low "success"-rate   Henrik Singmann
• [R-sig-ME] "parm" parameter in lme4::confint.merMod   Jake Westfall
  • [R-sig-ME] "parm" parameter in lme4::confint.merMod   Henrik Singmann
    • [R-sig-ME] "parm" parameter in lme4::confint.merMod   Ben Bolker
      • [R-sig-ME] "parm" parameter in lme4::confint.merMod   Jake Westfall
      • [R-sig-ME] "parm" parameter in lme4::confint.merMod   Ben Bolker
      • [R-sig-ME] "parm" parameter in lme4::confint.merMod   Jake Westfall
      • [R-sig-ME] Regions of significance plot for multilevel logistic regression model   Chris Stride
      • [R-sig-ME] Regions of significance plot for multilevel logistic regression model   Ben Bolker
• [R-sig-ME] Course: Introduction to GAM and GAMM with R   Highland Statistics Ltd
• [R-sig-ME] fixed effects estimates too small in binomial GLMM with low "success"-rate (   Solis
  • [R-sig-ME] fixed effects estimates too small in binomial GLMM with low "success"-rate (   Ben Bolker
• [R-sig-ME] starting value setting in glmer   Ben Bolker
• [R-sig-ME] [Lme4-authors] A Question Regarding a Warning Message Generated from Fitting a 'glmer' Model   lme4 maintainer
• [R-sig-ME] Variance of predictions from lme4 models at existing levels?   Julien Riou
• [R-sig-ME] transformation of BLUPs to response scale   John.Morrongiello at csiro.au
• [R-sig-ME] about the glmer function   lme4 maintainer
• [R-sig-ME] Assessing Normality for Mixed Models   AvianResearchDivision
  • [R-sig-ME] Assessing Normality for Mixed Models   Lionel
    • [R-sig-ME] Assessing Normality for Mixed Models   Lionel
  • [R-sig-ME] Assessing Normality for Mixed Models   Emmanuel Curis
  • [R-sig-ME] Assessing Normality for Mixed Models   Chris Howden
    • [R-sig-ME] Assessing Normality for Mixed Models   Farrar, David
      • [R-sig-ME] Assessing Normality for Mixed Models   AvianResearchDivision
  • [R-sig-ME] Assessing Normality for Mixed Models   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Calculations and interpretation of ordered logit model with clmm() and related functions   Christian Brauner
• [R-sig-ME] ] Zero inflated mixed model with constraint (lasso or other)   guillaume chaumet
• [R-sig-ME] recent message not posted   John Kingston
• [R-sig-ME] glmer warning "fixed-effect model matrix is rank deficient"   Dan McCloy
  • [R-sig-ME] glmer warning "fixed-effect model matrix is rank deficient"   Dan McCloy
• [R-sig-ME] How to interpret verbose output   Stuart Luppescu
  • [R-sig-ME] How to interpret verbose output   Ben Bolker
• [R-sig-ME] Zero inflated mixed model with constraint (lasso or other)   guillaume chaumet
• [R-sig-ME] Getting each bootstrapped data frame from bootMer   Daniel J Hocking
  • [R-sig-ME] Getting each bootstrapped data frame from bootMer   Ben Bolker
• [R-sig-ME] Previous messageNext messageBack to messages Post-hoc tests on linear mixed model give mixed results.‏   Claire
• [R-sig-ME] negative Hessian eigenvalues   Tobias Heed
  • [R-sig-ME] negative Hessian eigenvalues   Ben Bolker
• [R-sig-ME] Help: mixed model with nested structure   Zia Ahmed
• [R-sig-ME] Fwd: Re: Regions of significance plot for multilevel logistic regression model   Ben Bolker
• [R-sig-ME] LMER   Ben Bolker
• [R-sig-ME] {dsm} warning message "step size truncated due to divergence"   Ricardo Lima
  • [R-sig-ME] {dsm} warning message "step size truncated due to divergence"   Ben Bolker
• [R-sig-ME] false positives?   John Kingston
  • [R-sig-ME] false positives?   Ben Bolker
• [R-sig-ME] update to previous message about false positives   John Kingston
• [R-sig-ME] Coefplot2 availability? or How to interpret?   Lucinda Kirkpatrick
  • [R-sig-ME] Coefplot2 availability? or How to interpret?   Ben Bolker
• [R-sig-ME] Mixed modelling and GLMM course in Banff, Canada   Highland Statistics Ltd
• [R-sig-ME] Anomalous results with glmer().   Rolf Turner
  • [R-sig-ME] Anomalous results with glmer().   Ben Bolker
    • [R-sig-ME] Anomalous results with glmer().   Rolf Turner
  • [R-sig-ME] Anomalous results with glmer().   David Duffy
    • [R-sig-ME] Anomalous results with glmer().   Ben Bolker
    • [R-sig-ME] Anomalous results with glmer().   Rolf Turner
• [R-sig-ME] following up reply regarding false positives   John Kingston
• [R-sig-ME] citable references for profile likelihood CIs   Jake Westfall
  • [R-sig-ME] citable references for profile likelihood CIs   Joshua Wiley
  • [R-sig-ME] citable references for profile likelihood CIs   Matthew Wolak
  • [R-sig-ME] citable references for profile likelihood CIs   Ben Bolker
    • [R-sig-ME] citable references for profile likelihood CIs   Jake Westfall
• [R-sig-ME] [Lme4-authors] lmer/glmer false positive in convergence problems   Ben Bolker
• [R-sig-ME] reference for expression given on glmm wiki   Juliet Hannah
  • [R-sig-ME] reference for expression given on glmm wiki   Ben Bolker
• [R-sig-ME] repeated-measures mixed models   Ligia Pizzatto do Prado
  • [R-sig-ME] repeated-measures mixed models   ONKELINX, Thierry
• [R-sig-ME] lme4 performance   Gabor Grothendieck
  • [R-sig-ME] lme4 performance   Gabor Grothendieck
• [R-sig-ME] Solving sparse linear systems   Asaf Weinstein
  • [R-sig-ME] Solving sparse linear systems   Douglas Bates
• [R-sig-ME] glmer model with independent random effects   Thomas Debray
  • [R-sig-ME] glmer model with independent random effects   Steve Walker
    • [R-sig-ME] glmer model with independent random effects   Thomas Debray
• [R-sig-ME] Power analysis for a LMM with unbalanced data and continuous covariates   Jackie Wood
  • [R-sig-ME] Power analysis for a LMM with unbalanced data and continuous covariates   Jake Westfall
    • [R-sig-ME] Power analysis for a LMM with unbalanced data and continuous covariates   Steven McKinney
      • [R-sig-ME] Power analysis for a LMM with unbalanced data and continuous covariates   Rolf Turner
• [R-sig-ME] genetic distance as covariance matrix through ginverse?   Dean Castillo
  • [R-sig-ME] genetic distance as covariance matrix through ginverse?   Matthew Wolak
    • [R-sig-ME] genetic distance as covariance matrix through ginverse?   Dean Castillo
• [R-sig-ME] Assistance with specification of crossover design model   Adam Smith
• [R-sig-ME] rpt.remlLMM(y, groups) causes R to crash   AvianResearchDivision
  • [R-sig-ME] rpt.remlLMM(y, groups) causes R to crash   Ben Bolker
    • [R-sig-ME] rpt.remlLMM(y, groups) causes R to crash   AvianResearchDivision
      • [R-sig-ME] rpt.remlLMM(y, groups) causes R to crash   Ben Bolker
      • [R-sig-ME] rpt.remlLMM(y, groups) causes R to crash   AvianResearchDivision
      • [R-sig-ME] rpt.remlLMM(y, groups) causes R to crash   Ben Bolker
      • [R-sig-ME] rpt.remlLMM(y, groups) causes R to crash   Shinichi Nakagawa
• [R-sig-ME] Reformat: Assistance with specification of crossover design model   Adam Smith
  • [R-sig-ME] Reformat: Assistance with specification of crossover design model   Ben Bolker
    • [R-sig-ME] Error in LME4   Sunil Mundra
      • [R-sig-ME] Error in LME4   Ben Bolker
      • [R-sig-ME] Error in LME4   Hans Ekbrand
      • [R-sig-ME] Error in LME4   Hans Ekbrand
      • [R-sig-ME] Error in LME4   Ben Bolker
  • [R-sig-ME] Reformat: Assistance with specification of crossover design model   Adam Smith
• [R-sig-ME] glmmADMB dude   Noelia Zarza Moratalla
• [R-sig-ME] uninformative priors for a threshold model estimated with MCMCglmm?   Malcolm Fairbrother
  • [R-sig-ME] uninformative priors for a threshold model estimated with MCMCglmm?   Jarrod Hadfield
    • [R-sig-ME] uninformative priors for a threshold model estimated with MCMCglmm?   Malcolm Fairbrother
• [R-sig-ME] anova() and the difference between (x | y) and (1 | y:x) in lme4   Hans Ekbrand
  • [R-sig-ME] anova() and the difference between (x | y) and (1 | y:x) in lme4   ONKELINX, Thierry
    • [R-sig-ME] anova() and the difference between (x | y) and (1 | y:x) in lme4   Hans Ekbrand
    • [R-sig-ME] anova() and the difference between (x | y) and (1 | y:x) in lme4   Ben Bolker
      • [R-sig-ME] anova() and the difference between (x | y) and (1 | y:x) in lme4   Hans Ekbrand
      • [R-sig-ME] anova() and the difference between (x | y) and (1 | y:x) in lme4   Hans Ekbrand
      • [R-sig-ME] anova() and the difference between (x | y) and (1 | y:x) in lme4   ONKELINX, Thierry
• [R-sig-ME] Laplace approximation   Jarrod Hadfield
  • [R-sig-ME] Laplace approximation   Ben Bolker
• [R-sig-ME] Is there a way of getting “marginal effects” from a `glmer` object   Prof. Karthik D.
  • [R-sig-ME] Is there a way of getting “marginal effects” from a `glmer` object   Hans Ekbrand
  • [R-sig-ME] Is there a way of getting “marginal effects” from a `glmer` object   Henrik Singmann
• [R-sig-ME] Random Intercept + random slope model yields exactly the same results as random slope   Ulf Mertens
  • [R-sig-ME] Random Intercept + random slope model yields exactly the same results as random slope   ONKELINX, Thierry
    • [R-sig-ME] Random Intercept + random slope model yields exactly the same results as random slope   Ulf Mertens
      • [R-sig-ME] Random Intercept + random slope model yields exactly the same results as random slope   Ben Bolker
      • [R-sig-ME] Random Intercept + random slope model yields exactly the same results as random slope   Ben Bolker
      • [R-sig-ME] Random Intercept + random slope model yields exactly the same results as random slope   Ulf Mertens
• [R-sig-ME] Fwd: lme4 convergence warnings   Sofía Brandariz
  • [R-sig-ME] Fwd: lme4 convergence warnings   Phillips Perry
• [R-sig-ME] gamm4: predict to reflect random effects?   Mollie Brooks
• [R-sig-ME] Error using MuMIn dredge with glmer.nb   Fiona Mae Caryl
  • [R-sig-ME] Error using MuMIn dredge with glmer.nb   Ben Bolker
• [R-sig-ME] lmer/pamer.fnc error   Richa Bharti
  • [R-sig-ME] lmer/pamer.fnc error   Ben Bolker
• [R-sig-ME] simulation of grouped data   mervat mohamed
  • [R-sig-ME] simulation of grouped data   Ben Bolker
• [R-sig-ME] (no subject)   mervat mohamed
• [R-sig-ME] No residual variance using MCMCglmm   Céline Teplitsky
  • [R-sig-ME] No residual variance using MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Henderson iterations for random slopes   Jonathon D. Brown
  • [R-sig-ME] Henderson iterations for random slopes   Douglas Bates
• [R-sig-ME] How can I estimate deviance explained of a mixed gamm?   Jon Lopez
• [R-sig-ME] Convert nlme formula to nlmer   Roxane Foulser-Piggott
  • [R-sig-ME] Convert nlme formula to nlmer   Ben Bolker
• [R-sig-ME] glmmADMB does not run   Miguel Barbosa
  • [R-sig-ME] glmmADMB does not run   romunov
  • [R-sig-ME] glmmADMB does not run   Neil Collier
    • [R-sig-ME] glmmADMB does not run   josephbulbulia
• [R-sig-ME] upcoming release of lme4 1.1-7   Ben Bolker
• [R-sig-ME] pedigreemm number of levels per grouping factor   Ana Ines Vazquez
• [R-sig-ME] MCMCglmm error message:Error in `[.data.frame undefined columns selected   PATRICK, Samantha
  • [R-sig-ME] MCMCglmm error message:Error in `[.data.frame undefined columns selected   Jarrod Hadfield
    • [R-sig-ME] MCMCglmm error message:Error in `[.data.frame undefined columns selected   PATRICK, Samantha
• [R-sig-ME] Obtaining X beta + Zb   Asaf Weinstein
  • [R-sig-ME] Obtaining X beta + Zb   ONKELINX, Thierry
  • [R-sig-ME] Obtaining X beta + Zb   Ben Bolker
  • [R-sig-ME] Obtaining X beta + Zb   Steve Walker
• [R-sig-ME] Problems fitting a hurdle model using glmmADMB   Shawn O'Neil
  • [R-sig-ME] Problems fitting a hurdle model using glmmADMB   Shawn O'Neil
    • [R-sig-ME] Problems fitting a hurdle model using glmmADMB   David Duffy
• [R-sig-ME] Wieght MAtrix in Error term in MCMCglmm   Linus Holtermann
• [R-sig-ME] lsmeans in glmmADMB   Lenth, Russell V
• [R-sig-ME] Variance component specification   Daniel Anderson
• [R-sig-ME] Mixed Model Specification   Worthington, Thomas A
  • [R-sig-ME] Mixed Model Specification   Ben Bolker
  • [R-sig-ME] Mixed Model Specification   Lionel
  • [R-sig-ME] Mixed Model Specification   ONKELINX, Thierry
    • [R-sig-ME] Mixed Model Specification   Ben Bolker
• [R-sig-ME] glmmadmb instead of glmer to avoid convergence warnings in lme4   Lisa Rummel
  • [R-sig-ME] glmmadmb instead of glmer to avoid convergence warnings in lme4   Ben Bolker

Last message date: Fri Jun 27 13:51:39 CEST 2014
Archived on: Fri Jun 27 13:51:50 CEST 2014

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