Fourth quarter 2013 Archives by thread

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Starting: Tue Oct 1 12:04:52 CEST 2013
Ending: Tue Dec 31 13:54:56 CET 2013
Messages: 453

• [R-sig-ME] glmmADMB   romunov
  • [R-sig-ME] glmmADMB   Ben Bolker
    • [R-sig-ME] glmmADMB   Ben Bolker
• [R-sig-ME] mixed modelling with random effects with different correlation structures? GLMM/GEE mix   Ben Bolker
  • [R-sig-ME] mixed modelling with random effects with different correlation structures? GLMM/GEE mix   chris.brien at iinet.net.au
    • [R-sig-ME] mixed modelling with random effects with differentcorrelation structures? GLMM/GEE mix   David Duffy
• [R-sig-ME] Why does anova.merMod use refit?   Henrik Singmann
  • [R-sig-ME] Why does anova.merMod use refit?   Douglas Bates
    • [R-sig-ME] Why does anova.merMod use refit?   Henrik Singmann
      • [R-sig-ME] Why does anova.merMod use refit?   Ben Bolker
      • [R-sig-ME] Why does anova.merMod use refit?   Ben Bolker
• [R-sig-ME] interpretation of an individual-level random effect   Dominique CARVAL
  • [R-sig-ME] interpretation of an individual-level random effect   Ben Bolker
• [R-sig-ME] errors compiling minqa during lme4 install   Dan McCloy
  • [R-sig-ME] errors compiling minqa during lme4 install   Ben Bolker
  • [R-sig-ME] errors compiling minqa during lme4 install   Dan McCloy
    • [R-sig-ME] errors compiling minqa during lme4 install   Pantelis Z. Hadjipantelis
    • [R-sig-ME] errors compiling minqa during lme4 install   Ben Bolker
  • [R-sig-ME] errors compiling minqa during lme4 install   Dan McCloy
    • [R-sig-ME] errors compiling minqa during lme4 install   Pantelis Z. Hadjipantelis
    • [R-sig-ME] errors compiling minqa during lme4 install   Ben Bolker
  • [R-sig-ME] errors compiling minqa during lme4 install   Dan McCloy
• [R-sig-ME] intraclass correlation (ICC) for random intercept and slope model   John.Morrongiello at csiro.au
  • [R-sig-ME] intraclass correlation (ICC) for random intercept and slope model   Jake Westfall
  • [R-sig-ME] intraclass correlation (ICC) for random intercept and slope model   John.Morrongiello at csiro.au
• [R-sig-ME] stability of glmmADMB   Pau Boon Kee
  • [R-sig-ME] stability of glmmADMB   Ben Bolker
• [R-sig-ME] lmer specification for maximal random effects structure and one-between and two within-subject factors   Gabriel Baud-Bovy
  • [R-sig-ME] lmer specification for maximal random effects structure and one-between and two within-subject factors   Tobias Heed
    • [R-sig-ME] lmer specification for maximal random effects structure and one-between and two within-subject factors   Gabriel Baud-Bovy
      • [R-sig-ME] lmer specification for random effects with several within-subject factors   Gabriel Baud-Bovy
• [R-sig-ME] intraclass correlation (ICC) for random intercept and   John.Morrongiello at csiro.au
  • [R-sig-ME] intraclass correlation (ICC) for random intercept and   Jake Westfall
• [R-sig-ME] MCMCglmm random intercept/slope model and credible intervals   Maya
  • [R-sig-ME] MCMCglmm random intercept/slope model and credible intervals   Jarrod Hadfield
• [R-sig-ME] mer summary not an S4 object??   Stuart Luppescu
  • [R-sig-ME] mer summary not an S4 object??   Douglas Bates
• [R-sig-ME] model for clustered longitudinal binary data   Adrien Combaz
  • [R-sig-ME] model for clustered longitudinal binary data   Ben Bolker
    • [R-sig-ME] model for clustered longitudinal binary data   Adrien Combaz
      • [R-sig-ME] model for clustered longitudinal binary data   Ben Bolker
      • [R-sig-ME] model for clustered longitudinal binary data   Adrien Combaz
• [R-sig-ME] plot log transformed variable with Effects package   John.Morrongiello at csiro.au
  • [R-sig-ME] plot log transformed variable with Effects package   Ben Bolker
    • [R-sig-ME] plot log transformed variable with Effects package   Ben Bolker
      • [R-sig-ME] plot log transformed variable with Effects package   John Fox
• [R-sig-ME] bug in refit function?   Alexandra Kuznetsova
  • [R-sig-ME] bug in refit function?   Ben Bolker
    • [R-sig-ME] bug in refit function?   Ben Bolker
• [R-sig-ME] random slopes and intercepts using glmmadmb - negative binomial   Bayes Student
  • [R-sig-ME] random slopes and intercepts using glmmadmb - negative binomial   Ben Bolker
• [R-sig-ME] How to explain the difference of variables in random effects component   Tetsuya Michinaka
• [R-sig-ME] Help with Delta-gamma Glmm   xavier chevillot
• [R-sig-ME] Random intercepts and/or slopes   Maria Helena Mourino Silva Nunes
  • [R-sig-ME] Random intercepts and/or slopes   Gabriel Baud-Bovy
    • [R-sig-ME] Random intercepts and/or slopes   Viechtbauer Wolfgang (STAT)
      • [R-sig-ME] Random intercepts and/or slopes   Maria Helena Mourino Silva Nunes
• [R-sig-ME] implications fitting random-only slopes   Muldoon, Ariel
  • [R-sig-ME] implications fitting random-only slopes   Tobias Heed
    • [R-sig-ME] implications fitting random-only slopes   Muldoon, Ariel
• [R-sig-ME] plot log transformed variable with Effects   John.Morrongiello at csiro.au
• [R-sig-ME] pwrssUpdate Error with new version of lme4   Rachael Orben
  • [R-sig-ME] pwrssUpdate Error with new version of lme4   Johannes Radinger
    • [R-sig-ME] pwrssUpdate Error with new version of lme4   Ben Bolker
• [R-sig-ME] glmmadmb- problems with explanatory variable with a lot of zeros?   Mabille, Geraldine
  • [R-sig-ME] glmmadmb- problems with explanatory variable with a lot of zeros?   Mabille, Geraldine
    • [R-sig-ME] glmmadmb- problems with explanatory variable with a lot of zeros?   Ben Bolker
  • [R-sig-ME] glmmadmb- problems with explanatory variable with a lot of zeros?   Mabille, Geraldine
• [R-sig-ME] Calcul of confidence intervals of estimate coefficient by a logistic regression with random effect   Laetitia ETIENNE
  • [R-sig-ME] Calcul of confidence intervals of estimate coefficient by a logistic regression with random effect   Ben Bolker
• [R-sig-ME] Issue with experimental design?   Yla Savh
  • [R-sig-ME] Issue with experimental design?   Ted Wright
    • [R-sig-ME] Issue with experimental design?   Joshua Wiley
    • [R-sig-ME] Issue with experimental design?   Ben Bolker
  • [R-sig-ME] Issue with experimental design?   David Winsemius
    • [R-sig-ME] Issue with experimental design?   Yla Savh
• [R-sig-ME] effect sizes in lmer   Joshua Hartshorne
  • [R-sig-ME] effect sizes in lmer   David Winsemius
    • [R-sig-ME] effect sizes in lmer   Joshua Hartshorne
      • [R-sig-ME] effect sizes in lmer   Henrik Singmann
  • [R-sig-ME] effect sizes in lmer   Joshua Hartshorne
    • [R-sig-ME] effect sizes in lmer   Henrik Singmann
    • [R-sig-ME] effect sizes in lmer   Ben Bolker
      • [R-sig-ME] effect sizes in lmer   Jake Westfall
    • [R-sig-ME] effect sizes in lmer   Steven J. Pierce
• [R-sig-ME] Call of interest: mixed modelling course in Quebec City   Highland Statistics Ltd
• [R-sig-ME] When is sparseX implementation expected?   Pete Meyer
  • [R-sig-ME] When is sparseX implementation expected?   Ben Bolker
    • [R-sig-ME] When is sparseX implementation expected?   Doran, Harold
  • [R-sig-ME] When is sparseX implementation expected?   Douglas Bates
• [R-sig-ME] Unrealistic fixed effect coefficients   Dave Marvin
  • [R-sig-ME] Unrealistic fixed effect coefficients   Jake Westfall
    • [R-sig-ME] Unrealistic fixed effect coefficients   Dave Marvin
• [R-sig-ME] Variances of higher-order vs. lower-order random terms   Jake Westfall
  • [R-sig-ME] Variances of higher-order vs. lower-order random terms   Jake Westfall
    • [R-sig-ME] Variances of higher-order vs. lower-order random terms   Jake Westfall
      • [R-sig-ME] Variances of higher-order vs. lower-order random terms   Reinhold Kliegl
      • [R-sig-ME] Variances of higher-order vs. lower-order random terms   Jake Westfall
      • [R-sig-ME] Variances of higher-order vs. lower-order random terms   Reinhold Kliegl
      • [R-sig-ME] Variances of higher-order vs. lower-order random terms   Jake Westfall
      • [R-sig-ME] Variances of higher-order vs. lower-order random terms   peter dalgaard
      • [R-sig-ME] Variances of higher-order vs. lower-order random terms   Reinhold Kliegl
  • [R-sig-ME] Variances of higher-order vs. lower-order random terms   Chris Howden
• [R-sig-ME] FW: Unrealistic fixed effect coefficients   Seth Bigelow
• [R-sig-ME] [Lme4-authors] AIC calculation   Ben Bolker
  • [R-sig-ME] [Lme4-authors] AIC calculation   Ben Bolker
• [R-sig-ME] how to get confidence intervals in using glmer in lme4 package?   lbp
  • [R-sig-ME] how to get confidence intervals in using glmer in lme4 package?   Ben Bolker
• [R-sig-ME] GLMM question   Hamberg Leena (METLA)
  • [R-sig-ME] GLMM question   Jake Westfall
    • [R-sig-ME] GLMM question   Ben Bolker
    • [R-sig-ME] GLMM question   Austin, Matt
• [R-sig-ME] nlme   Douglas Bates
  • [R-sig-ME] nlme   Liaw, Andy
    • [R-sig-ME] nlme   Douglas Bates
  • [R-sig-ME] nlme   Kevin Wright
    • [R-sig-ME] nlme   Dave Marvin
  • [R-sig-ME] nlme   John Fox
  • [R-sig-ME] nlme   Catherine Bois
    • [R-sig-ME] nlme   Kevin Wright
• [R-sig-ME] R-sig-mixed-models Digest, Vol 82, Issue 25   Lenth, Russell V
• [R-sig-ME] Very large standard errors in lmer   Dave Marvin
  • [R-sig-ME] Very large standard errors in lmer   Seth Bigelow
• [R-sig-ME] Save estimates as CSV   Anders Tisell
  • [R-sig-ME] Save estimates as CSV   Gabriel Baud-Bovy
• [R-sig-ME] Error in glmmadmb: could not find function "paste0"   Gabrielle Davidson
  • [R-sig-ME] Error in glmmadmb: could not find function   Ben Bolker
  • [R-sig-ME] Error in glmmadmb: could not find function "paste0"   Kevin Wright
    • [R-sig-ME] Error in glmmadmb: could not find function "paste0"   Gabrielle Davidson
• [R-sig-ME] Warning in rankMatrix(X)   Juan Kamienkowski
  • [R-sig-ME] Warning in rankMatrix(X)   Ben Bolker
    • [R-sig-ME] Warning in rankMatrix(X)   Juan Kamienkowski
• [R-sig-ME] Update to 'metafor' Package   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Zero random effect variance?   Dave Marvin
  • [R-sig-ME] Zero random effect variance?   Ben Bolker
    • [R-sig-ME] Zero random effect variance?   Dave Marvin
      • [R-sig-ME] Zero random effect variance?   David Duffy
      • [R-sig-ME] Zero random effect variance?   Ben Bolker
      • [R-sig-ME] Zero random effect variance?   Dave Marvin
• [R-sig-ME] confidence intervals from lmer() with random correlation parameters   Sol Lago
  • [R-sig-ME] confidence intervals from lmer() with random correlation parameters   Steve Walker
• [R-sig-ME] equality constraints in lmer/lme4   Jean-Philippe Laurenceau
  • [R-sig-ME] equality constraints in lmer/lme4   Jean-Philippe Laurenceau
  • [R-sig-ME] equality constraints in lmer/lme4   Ewart Thomas
  • [R-sig-ME] equality constraints in lmer/lme4   David Duffy
  • [R-sig-ME] equality constraints in lmer/lme4   Greg Snow
    • [R-sig-ME] equality constraints in lmer/lme4   David Winsemius
      • [R-sig-ME] equality constraints in lmer/lme4   Greg Snow
      • [R-sig-ME] equality constraints in lmer/lme4   David Winsemius
      • [R-sig-ME] equality constraints in lmer/lme4   Jean-Philippe Laurenceau
• [R-sig-ME] R-sig-mixed-models Digest, Vol 82, Issue 31   Iasonas Lamprianou
  • [R-sig-ME] R-sig-mixed-models Digest, Vol 82, Issue 31   Cole, Tim
  • [R-sig-ME] R-sig-mixed-models Digest, Vol 82, Issue 31   Ben Bolker
• [R-sig-ME] Error structure for split-split plot with treatment across blocks   Elizabeth Graham
  • [R-sig-ME] Error structure for split-split plot with treatment across blocks   Steve Denham
  • [R-sig-ME] Error structure for split-split plot with treatment across blocks   S Ellison
    • [R-sig-ME] Error structure for split-split plot with treatment across blocks   Elizabeth Graham
      • [R-sig-ME] Error structure for split-split plot with treatment across blocks   chris.brien at iinet.net.au
      • [R-sig-ME] Error structure for split-split plot with treatment across blocks   chris.brien at iinet.net.au
      • [R-sig-ME] Error structure for split-split plot with treatment across blocks   S Ellison
      • [R-sig-ME] Error structure for split-split plot with treatment across blocks   Elizabeth Graham
      • [R-sig-ME] Error structure for split-split plot with treatment across blocks   Tobias Heed
• [R-sig-ME] MCMCglmm model and prior specification-incomplete sampling of blocks   Peter B. Pearman
• [R-sig-ME] select glmm r function   xavier chevillot
• [R-sig-ME] lme4 sanple size analysis / power analysis by simulation and confidence intervals - A request to check the approach   Daniel Fountain
• [R-sig-ME] Fwd: What does "number of groups < 50"   Ben Bolker
  • [R-sig-ME] What does "number of groups < 50"   Maria Paola Bissiri
    • [R-sig-ME] What does "number of groups < 50"   Ben Bolker
      • [R-sig-ME] warning glmer   Ben Pelzer
      • [R-sig-ME] warning glmer   Steve Walker
      • [R-sig-ME] What does "number of groups < 50"   Maria Paola Bissiri
      • [R-sig-ME] What does "number of groups < 50"   Emmanuel Curis
      • [R-sig-ME] What does "number of groups < 50"   Maria Paola Bissiri
• [R-sig-ME] lme4 sanple size analysis / power analysis by simulation ...   Lenth, Russell V
  • [R-sig-ME] lme4 sanple size analysis / power analysis by simulation ...   David Winsemius
    • [R-sig-ME] lme4 sanple size analysis / power analysis by simulation ...   Kevin E. Thorpe
      • [R-sig-ME] lme4 sanple size analysis / power analysis by simulation ...   Steven McKinney
      • [R-sig-ME] lme4 sanple size analysis / power analysis by simulation ...   Lenth, Russell V
• [R-sig-ME] MCMCglmm 3 way interaction   john benson
• [R-sig-ME] warning computing profile confidence intervals with confint()   Sol Lago
  • [R-sig-ME] warning computing profile confidence intervals with confint()   Sol Lago
  • [R-sig-ME] warning computing profile confidence intervals with confint()   Ben Bolker
• [R-sig-ME] multilevel linear models   srecko joksimovic
  • [R-sig-ME] multilevel linear models   marKo
• [R-sig-ME] Zero-inflated binomial (ZIB) models in glmmADMB: warnings and errors   Stefan Ferger
  • [R-sig-ME] Zero-inflated binomial (ZIB) models in glmmADMB: warnings and errors   Stefan Ferger
• [R-sig-ME] Zero-inflated binomial (ZIB) models in glmmADMB:, warnings and errors   Highland Statistics Ltd
• [R-sig-ME] lme4 and confidence intervals   Ben Bolker
  • [R-sig-ME] lme4 and confidence intervals   Ben Bolker
    • [R-sig-ME] lme4 and confidence intervals   Ben Bolker
• [R-sig-ME] Course: Mixed modelling (with intro MCMC)   Highland Statistics Ltd
• [R-sig-ME] GAMM4: In mer_finalize(ans) : false convergence (8)   saba
  • [R-sig-ME] GAMM4: In mer_finalize(ans) : false convergence (8)   Ben Bolker
• [R-sig-ME] lme: predictions variance collapses when one more level is added   Dieter Menne
  • [R-sig-ME] lme: predictions variance collapses when one more level is added   Ben Bolker
    • [R-sig-ME] lme: predictions variance collapses when one more level is added   ian m s white
    • [R-sig-ME] lme: predictions variance collapses when one more level is added   Dieter Menne
      • [R-sig-ME] lme: predictions variance collapses when one more level is added   Ben Bolker
      • [R-sig-ME] lme: predictions variance collapses when one more level is added   Dieter Menne
      • [R-sig-ME] lme: predictions variance collapses when one more level is added   Dieter Menne
• [R-sig-ME] confidence intervals on predictions from lme   Elizabeth Graham
• [R-sig-ME] Problems with lme random slope+intercept model   Andreas Nord
  • [R-sig-ME] Problems with lme random slope+intercept model   Ben Bolker
• [R-sig-ME] behavior of na.action = na.exclude using lmer in lme4 1.0-5 inconsistent with lm and with older versions of lme4   David Kane
  • [R-sig-ME] behavior of na.action = na.exclude using lmer in lme4 1.0-5 inconsistent with lm and with older versions of lme4   Ben Bolker
• [R-sig-ME] How to compute a correlation between two time ranges?   Yla Savh
  • [R-sig-ME] How to compute a correlation between two time ranges?   Ben Bolker
• [R-sig-ME] r-sig-models at r-project.org   Tobias Heed
• [R-sig-ME] wrong post   Tobias Heed
• [R-sig-ME] contrasts and interactions with multi-level factors in glmer   Haldre Rogers
  • [R-sig-ME] contrasts and interactions with multi-level factors in glmer   Ben Bolker
• [R-sig-ME] ICC on random slopes in mixed logistic regression   Martin Leclerc
  • [R-sig-ME] ICC on random slopes in mixed logistic regression   Jake Westfall
• [R-sig-ME] Manipulating matrices from MCMCglmm   Adam Hayward
  • [R-sig-ME] Manipulating matrices from MCMCglmm   Jarrod Hadfield
    • [R-sig-ME] Manipulating matrices from MCMCglmm   Adam Hayward
• [R-sig-ME] KRmodcomp issues   Kevin Gould
  • [R-sig-ME] KRmodcomp issues   Henrik Singmann
• [R-sig-ME] Plotting residuals for GLMER model and zero counts   Francesco
  • [R-sig-ME] Plotting residuals for GLMER model and zero counts   Ben Bolker
  • [R-sig-ME] Plotting residuals for GLMER model and zero counts   Malcolm Fairbrother
    • [R-sig-ME] Plotting residuals for GLMER model and zero counts   Ben Bolker
• [R-sig-ME] cox reid likelihood in R   Akshita Chawla
  • [R-sig-ME] cox reid likelihood in R   Akshita Chawla
  • [R-sig-ME] cox reid likelihood in R   Ben Bolker
• [R-sig-ME] the cox-reid adjusted likelihood for linear mixed models in R   Youngjo Lee
• [R-sig-ME] Interpreting Zero altered models in MCMCglmm   Hodsoll, John
  • [R-sig-ME] Interpreting Zero altered models in MCMCglmm   Jarrod Hadfield
    • [R-sig-ME] Interpreting Zero altered models in MCMCglmm   Jarrod Hadfield
      • [R-sig-ME] Interpreting Zero altered models in MCMCglmm   Hodsoll, John
  • [R-sig-ME] Interpreting Zero altered models in MCMCglmm   David Atkins
    • [R-sig-ME] Interpreting Zero altered models in MCMCglmm   Hodsoll, John
• [R-sig-ME] getME function crashes   Johannes Radinger
  • [R-sig-ME] getME function crashes   lancelot
    • [R-sig-ME] getME function crashes   Ben Bolker
      • [R-sig-ME] getME function crashes   Johannes Radinger
  • [R-sig-ME] getME function crashes   Steve Walker
  • [R-sig-ME] getME function crashes   Hugo.Mildenberger at web.de
• [R-sig-ME] Doubt about including random effects or not   V. Coudrain
  • [R-sig-ME] Doubt about including random effects or not   Ben Bolker
    • [R-sig-ME] Doubt about including random effects or not   V. Coudrain
• [R-sig-ME] p-value calculation in binomial models   Sarah Dryhurst
  • [R-sig-ME] p-value calculation in binomial models   Sarah Dryhurst
• [R-sig-ME] adding a kinship matrix as a random covariate   Federico Calboli
  • [R-sig-ME] adding a kinship matrix as a random covariate   Ben Bolker
• [R-sig-ME] Nonlinear mixed effect with nlme   Arnold Reynaldi
• [R-sig-ME] lmList from lme4 on grouped data objects   Viechtbauer Wolfgang (STAT)
  • [R-sig-ME] lmList from lme4 on grouped data objects   Ben Bolker
    • [R-sig-ME] lmList from lme4 on grouped data objects   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Error with predict.merMod and random slopes   Nick Donnelly
  • [R-sig-ME] Error with predict.merMod and random slopes   Ben Bolker
  • [R-sig-ME] Error with predict.merMod and random slopes   Ben Bolker
  • [R-sig-ME] Error with predict.merMod and random slopes   Stefan Th. Gries
• [R-sig-ME] Define prior in MCMCglmm   Maria Paola Bissiri
  • [R-sig-ME] Define prior in MCMCglmm   Szymek Drobniak
    • [R-sig-ME] Define prior in MCMCglmm   Maria Paola Bissiri
      • [R-sig-ME] Define prior in MCMCglmm   Jarrod Hadfield
      • [R-sig-ME] Define prior in MCMCglmm   Szymek Drobniak
      • [R-sig-ME] reference for standard error of estimated variance components   Jake Westfall
      • [R-sig-ME] reference for standard error of estimated variance components   John Maindonald
      • [R-sig-ME] reference for standard error of estimated variance components   Ben Bolker
      • [R-sig-ME] Define prior in MCMCglmm   Jarrod Hadfield
      • [R-sig-ME] Define prior in MCMCglmm   Maria Paola Bissiri
      • [R-sig-ME] Define prior in MCMCglmm   Szymek Drobniak
      • [R-sig-ME] Define prior in MCMCglmm   Maria Paola Bissiri
      • [R-sig-ME] Define prior in MCMCglmm   Szymek Drobniak
• [R-sig-ME] Looking for residuals in clmm summary output   aline.frank at wsl.ch
  • [R-sig-ME] Looking for residuals in clmm summary output   Ben Bolker
  • [R-sig-ME] Looking for residuals in clmm summary output   Rune Haubo
• [R-sig-ME] Non linear mixed models on binomial distributed data   Juan Santos
• [R-sig-ME] MCMCglmm - Random effect prior specification   Tanya Pennell
  • [R-sig-ME] MCMCglmm - Random effect prior specification   Jarrod Hadfield
• [R-sig-ME] Model comparison with anova and AIC: p=0 and different AIC-values   Stefan Th. Gries
  • [R-sig-ME] Model comparison with anova and AIC: p=0 and different AIC-values   Ben Bolker
    • [R-sig-ME] Model comparison with anova and AIC: p=0 and different AIC-values   Stefan Th. Gries
      • [R-sig-ME] Model comparison with anova and AIC: p=0 and different AIC-values   Ben Bolker
      • [R-sig-ME] Model comparison with anova and AIC: p=0 and different AIC-values   Stefan Th. Gries
      • [R-sig-ME] Model comparison with anova and AIC: p=0 and different AIC-values   Ben Bolker
      • [R-sig-ME] Model comparison with anova and AIC: p=0 and different AIC-values   Stefan Th. Gries
      • [R-sig-ME] Model comparison with anova and AIC: p=0 and different AIC-values   Ben Bolker
      • [R-sig-ME] Model comparison with anova and AIC: p=0 and different AIC-values   Stefan Th. Gries
• [R-sig-ME] lognormal bias correction with nested random effects   Elizabeth Webb
• [R-sig-ME] Set individual variance components to zero in lme   Gustaf Granath
• [R-sig-ME] Heteroscedasticity and d.f.   Jasper Wubs
• [R-sig-ME] non-nested effects in lme   andrea.onofri at unipg.it
  • [R-sig-ME] non-nested effects in lme   Friso Muijsers
    • [R-sig-ME] non-nested effects in lme   Andrea Onofri
      • [R-sig-ME] non-nested effects in lme   Friso Muijsers
      • [R-sig-ME] non-nested effects in lme   Andrzej Galecki
      • [R-sig-ME] non-nested effects in lme   Andrea Onofri
• [R-sig-ME] starter values   Arndt Kunick
  • [R-sig-ME] starter values   Arnold Reynaldi
    • [R-sig-ME] starter values   Martin Maechler
  • [R-sig-ME] starter values   Arndt Kunick
• [R-sig-ME] Post-hoc comparison for incorrect responses in glmer   Francesco
  • [R-sig-ME] Post-hoc comparison for incorrect responses in glmer   Francesco
  • [R-sig-ME] Post-hoc comparison for incorrect responses in glmer   Francesco
    • [R-sig-ME] Post-hoc comparison for incorrect responses in glmer   Francesco
• [R-sig-ME] extract DFs from summary.merModLmerTest   Jake Westfall
  • [R-sig-ME] extract DFs from summary.merModLmerTest   Ben Bolker
    • [R-sig-ME] extract DFs from summary.merModLmerTest   Jake Westfall
• [R-sig-ME] Calculate Repeatability of Mixed Model Random Effects   AvianResearchDivision
• [R-sig-ME] Course: Introduction to Linear mixed effects models, GLMM and MCMC with R   Highland Statistics Ltd
• [R-sig-ME] Testing Random Effects--On the Boundary   AvianResearchDivision
  • [R-sig-ME] Testing Random Effects--On the Boundary   AvianResearchDivision
    • [R-sig-ME] Testing Random Effects--On the Boundary   Thompson,Paul
      • [R-sig-ME] Testing Random Effects--On the Boundary   Ben Bolker
      • [R-sig-ME] Testing Random Effects--On the Boundary   James Grecian
      • [R-sig-ME] Testing Random Effects--On the Boundary   AvianResearchDivision
  • [R-sig-ME] Testing Random Effects--On the Boundary   Ben Bolker
    • [R-sig-ME] Testing Random Effects--On the Boundary   Geraci, Marco
• [R-sig-ME] lme4: constrain sigma to 0   Ben Bolker
• [R-sig-ME] JOBS: 5 New Academic Posts in Quantitative Social Science at the University of Bristol   Malcolm Fairbrother
• [R-sig-ME] "invalid class “mer” object" error with lme4 0.999375.42   Rachel Smith
  • [R-sig-ME] "invalid class “mer” object" error with lme4 0.999375.42   Ben Bolker
• [R-sig-ME] Fitting linear mixed model to longitudinal data with very few data points   David Westergaard
  • [R-sig-ME] Fitting linear mixed model to longitudinal data with very few data points   Steven J. Pierce
    • [R-sig-ME] Fitting linear mixed model to longitudinal data with very few data points   David Westergaard
      • [R-sig-ME] Fitting linear mixed model to longitudinal data with very few data points   Steven J. Pierce
      • [R-sig-ME] Fitting linear mixed model to longitudinal data with very few data points   Ben Bolker
      • [R-sig-ME] Fitting linear mixed model to longitudinal data with very few data points   David Westergaard
      • [R-sig-ME] Fitting linear mixed model to longitudinal data with very few data points   Ben Bolker
• [R-sig-ME] specifying partially crossed mixed effects   Pradeep Babu S.
• [R-sig-ME] Contradictory results in lmer   Benedetta Cesqui
• [R-sig-ME] [R] lmer specification for random effects: contradictory reults   ONKELINX, Thierry
  • [R-sig-ME] R: [R] lmer specification for random effects: contradictory reults   Benedetta Cesqui
  • [R-sig-ME] [R] lmer specification for random effects: contradictory reults   ONKELINX, Thierry
• [R-sig-ME] nlme repeated measures   Elizabeth Webb
  • [R-sig-ME] nlme repeated measures   Ben Bolker
• [R-sig-ME] more worked GLMM examples   Ben Bolker
• [R-sig-ME] Predict method for lmer   Nathan E. Rutenbeck
  • [R-sig-ME] Predict method for lmer   Ben Bolker
  • [R-sig-ME] Predict method for lmer   Nathan E. Rutenbeck
    • [R-sig-ME] Predict method for lmer   Ben Bolker
• [R-sig-ME] HELP gls   bbonit at tin.it
• [R-sig-ME] function for simulating from GLMM   Paul Johnson
• [R-sig-ME] lmer model design   Benedetta Cesqui
  • [R-sig-ME] R: lmer model design   Benedetta Cesqui
• [R-sig-ME] Using mcp and glht for lmer model   Vanlangendonck, F. (Flora)
• [R-sig-ME] Multilevel logit and sample size (mixed models)   Linus Holtermann
  • [R-sig-ME] Multilevel logit and sample size (mixed models)   Malcolm Fairbrother
• [R-sig-ME] simulate.lme for correlation in repeated measure   bbonit at tin.it
  • [R-sig-ME] simulate.lme for correlation in repeated measure   Ben Bolker
    • [R-sig-ME] simulate.lme for correlation in repeated measure   bonitta gianluca
• [R-sig-ME] estimation of intercept in binomial glmer   Björn Lindström
  • [R-sig-ME] estimation of intercept in binomial glmer   Ben Bolker
    • [R-sig-ME] estimation of intercept in binomial glmer   Gebregziabher, Mulugeta
      • [R-sig-ME] estimation of intercept in binomial glmer   Ben Bolker
• [R-sig-ME] Linear mixed model (estimated mean ploting)   Sunil Mundra
  • [R-sig-ME] Linear mixed model (estimated mean ploting)   Ben Bolker
• [R-sig-ME] Always allow for correlation of random effects?   AvianResearchDivision
  • [R-sig-ME] Always allow for correlation of random effects?   Ben Bolker
    • [R-sig-ME] Always allow for correlation of random effects?   Jake Westfall
      • [R-sig-ME] Always allow for correlation of random effects?   Reinhold Kliegl
      • [R-sig-ME] Always allow for correlation of random effects?   Ben Bolker
      • [R-sig-ME] Always allow for correlation of random effects?   AvianResearchDivision
      • [R-sig-ME] Always allow for correlation of random effects?   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Extremely High Slope/Intercept Correlation   AvianResearchDivision
  • [R-sig-ME] Extremely High Slope/Intercept Correlation   ONKELINX, Thierry
    • [R-sig-ME] Extremely High Slope/Intercept Correlation   Viechtbauer Wolfgang (STAT)
      • [R-sig-ME] Fwd: Extremely High Slope/Intercept Correlation   AvianResearchDivision
      • [R-sig-ME] Fwd: Extremely High Slope/Intercept Correlation   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] How to calculate proportion of deviance explained from GAMM?   Mari Lyly
  • [R-sig-ME] How to calculate proportion of deviance explained from GAMM?   Julia Sommerfeld
  • [R-sig-ME] Fwd: How to calculate proportion of deviance explained from GAMM?   Julia Sommerfeld
  • [R-sig-ME] How to calculate proportion of deviance explained from GAMM?   Mari Lyly
    • [R-sig-ME] How to calculate proportion of deviance explained from GAMM?   Julia Sommerfeld
      • [R-sig-ME] How to calculate proportion of deviance explained from GAMM?   Ben Bolker
  • [R-sig-ME] How to calculate proportion of deviance explained from GAMM?   Julia Sommerfeld
    • [R-sig-ME] How to calculate proportion of deviance explained from GAMM?   Rob Robinson
• [R-sig-ME] help with installation of glmmADMB   Samora Macrice Andrew
  • [R-sig-ME] help with installation of glmmADMB   Ben Bolker
• [R-sig-ME] Problem with glmer   Hamada Elsayed Ali
  • [R-sig-ME] Problem with glmer   Ben Bolker
• [R-sig-ME] extract phi parameter from lme model   Rasmussen, Paul W - DNR
  • [R-sig-ME] extract phi parameter from lme model   Ben Bolker
• [R-sig-ME] simulate lme function value   bbonit at tin.it
  • [R-sig-ME] simulate lme function value   Ben Bolker
    • [R-sig-ME] simulate lme function value   Andrzej Galecki
      • [R-sig-ME] simulate lme function value   Ben Bolker
    • [R-sig-ME] simulate lme function value   Bonitta gianluca
    • [R-sig-ME] Prediction of modeled estimate and plot   Sunil Mundra
      • [R-sig-ME] Prediction of modeled estimate and plot   Ben Bolker
• [R-sig-ME] glmmadmb nbinom model syntax correctly accounting for repeated measures?   Sheryn Olson
• [R-sig-ME] simulating datasets for mixed model analysis   Fiona Ingleby
  • [R-sig-ME] simulating datasets for mixed model analysis   alessandro
    • [R-sig-ME] simulating datasets for mixed model analysis   Kevin Wright
  • [R-sig-ME] simulating datasets for mixed model analysis   matthew
• [R-sig-ME] order of terms affecting lme4 results (much more than lme4.0)   Daniel Ezra Johnson
  • [R-sig-ME] order of terms affecting lme4 results (much more than lme4.0)   Daniel Ezra Johnson
• [R-sig-ME] Model adequacy with glmmADMB   CORRIA AINSLIE, ROBIN
• [R-sig-ME] Probability CIs for Mixed Logistic Regression   Egor Ananyev
  • [R-sig-ME] Probability CIs for Mixed Logistic Regression   Ben Bolker
    • [R-sig-ME] Probability CIs for Mixed Logistic Regression   Egor Ananyev
      • [R-sig-ME] Probability CIs for Mixed Logistic Regression   Steven J. Pierce
      • [R-sig-ME] Probability CIs for Mixed Logistic Regression   Egor Ananyev
      • [R-sig-ME] Probability CIs for Mixed Logistic Regression   Chris Howden
      • [R-sig-ME] Probability CIs for Mixed Logistic Regression   Steven J. Pierce
• [R-sig-ME] Citing LME4 and Bates' Springer book (2010)   rt
• [R-sig-ME] "whole factor" effects for categorical variable (3 levels) in glmmPQL ?   marieline gentes
  • [R-sig-ME] "whole factor" effects for categorical variable (3levels) in glmmPQL ?   David Duffy
• [R-sig-ME] Question on lme4 book   Douglas Bates
  • [R-sig-ME] [Rcpp-devel] Question on lme4 book   Hadley Wickham
    • [R-sig-ME] [Rcpp-devel] Question on lme4 book   Søren Højsgaard
  • [R-sig-ME] Question on lme4 book   Ben Bolker
  • [R-sig-ME] [Rcpp-devel] Question on lme4 book   Kasper Daniel Hansen
    • [R-sig-ME] [Rcpp-devel] Question on lme4 book   Krzysztof Sakrejda
• [R-sig-ME] glmer on binomial data with 1 random effect - get p values from anova table ?   marieline gentes
  • [R-sig-ME] glmer on binomial data with 1 random effect - get p values from anova table ?   Ben Bolker
• [R-sig-ME] What is the Correct glmmadmb syntax for random repeated measure and block?   Sheryn Olson
  • [R-sig-ME] What is the Correct glmmadmb syntax for random repeated measure and block?   Ben Bolker
• [R-sig-ME] Unable to install the package glmmADMB   Maria Helena Mourino Silva Nunes
  • [R-sig-ME] Unable to install the package glmmADMB   Ben Bolker
    • [R-sig-ME] Unable to install the package glmmADMB   Maria Helena Mourino Silva Nunes
      • [R-sig-ME] Unable to install the package glmmADMB   Ben Bolker
      • [R-sig-ME] Unable to install the package glmmADMB   Maria Helena Mourino Silva Nunes
• [R-sig-ME] summary vs anova in lmerTest   Cerni, Tania
  • [R-sig-ME] summary vs anova in lmerTest   Alexandra Kuznetsova
• [R-sig-ME] Different outputs between two versions of lmerTest   Charlotte Récapet
• [R-sig-ME] predictions from MCMCglmm multinomial model   Achaz Hardenberg
• [R-sig-ME] Problems with lme model prediction   Anna-Marie Corman
• [R-sig-ME] Errors using GLMM with overdispersed data   Gaëlle DAMOUR
• [R-sig-ME] model specification for continuous environmental vars   Tim Howard
  • [R-sig-ME] model specification for continuous environmental vars   Hans Ekbrand
    • [R-sig-ME] model specification for continuous environmental vars   Neil Collier
  • [R-sig-ME] model specification for continuous environmental vars   Hans Ekbrand
  • [R-sig-ME] model specification for continuous environmental vars   Tim Howard
  • [R-sig-ME] model specification for continuous environmental vars   Tim Howard
  • [R-sig-ME] model specification for continuous environmental vars   Tim Howard
    • [R-sig-ME] model specification for continuous environmental vars   Hans Ekbrand
      • [R-sig-ME] model specification for continuous environmental vars   Tim Howard
      • [R-sig-ME] model specification for continuous environmental vars   Seth Bigelow
      • [R-sig-ME] model specification for continuous environmental vars   Tim Howard
• [R-sig-ME] 4 pre measurements, 2 post measurements. Ideas?   Paul Johnson
  • [R-sig-ME] 4 pre measurements, 2 post measurements. Ideas?   Joshua Wiley
• [R-sig-ME] Why no "dataClasses" attribute at terms for lmer object   Ben Bolker
• [R-sig-ME] Negative log-likelihood-ratios in parametric bootstrap   robert bagchi
• [R-sig-ME] Syntax for nested random effects   Stefan Th. Gries
• [R-sig-ME] Need a help for glmer use.   Douglas Bates
  • [R-sig-ME] Need a help for glmer use.   Ben Bolker
• [R-sig-ME] Parametrization of the beta-binomial model in glmmadmb {glmmADMB}   Torbjørn Ergon
  • [R-sig-ME] Parametrization of the beta-binomial model in glmmadmb {glmmADMB}   Ben Bolker
    • [R-sig-ME] Parametrization of the beta-binomial model in glmmadmb {glmmADMB}   Torbjørn Ergon
• [R-sig-ME] k-fold cross validation for S4 class model object   Blake Lowrey
• [R-sig-ME] Yet another question on CIs for coef(model) extracted conditional coefficients   Richard Asturia
  • [R-sig-ME] Yet another question on CIs for coef(model) extracted conditional coefficients   Ben Bolker
• [R-sig-ME] getting pvalues of fixed effects coefficients in a lmer model with bootMer   espesser
• [R-sig-ME] random effects with nbinom glmmadmb   Jurij Diaci BF
  • [R-sig-ME] random effects with nbinom glmmadmb   Ben Bolker
    • [R-sig-ME] random effects with nbinom glmmadmb   Diaci, Jurij
• [R-sig-ME] Conceptual question with mixed effects models   Natalie Robinson
• [R-sig-ME] call for papers (social scientists)   Malcolm Fairbrother
• [R-sig-ME] Sample size calculation   bbonit at tin.it

Last message date: Tue Dec 31 13:54:56 CET 2013
Archived on: Fri Jan 3 20:54:24 CET 2014

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