First quarter 2017 Archives by author

• Messages sorted by: [ thread ] [ subject ] [ date ]
• More info on this list...

Starting: Mon Jan 2 05:43:55 CET 2017
Ending: Fri Mar 31 14:41:48 CEST 2017
Messages: 188

• [R-sig-ME] modeling question   Joaquín Aldabe
• [R-sig-ME] modeling question   Joaquín Aldabe
• [R-sig-ME] modeling question   Joaquín Aldabe
• [R-sig-ME] modeling question   Joaquín Aldabe
• [R-sig-ME] modeling question   Joaquín Aldabe
• [R-sig-ME] modeling question   Joaquín Aldabe
• [R-sig-ME] Understanding variance components   Phillip Alday
• [R-sig-ME] question on lme4   Phillip Alday
• [R-sig-ME] Specification Noninformative Prior with Jeffrey's Method in MCMCglmm function   Euis Aqmaliyah
• [R-sig-ME] How to determine the length of the required burn-in until convergence in MCMCglmm package or another package   Euis Aqmaliyah
• [R-sig-ME] How to determine the length of the required burn-in until convergence in MCMCglmm package or another package   Euis Aqmaliyah
• [R-sig-ME] How to determine the length of the required burn-in until convergence in MCMCglmm package or another package   Euis Aqmaliyah
• [R-sig-ME] How to determine the length of the required burn-in until convergence in MCMCglmm package or another package   Euis Aqmaliyah
• [R-sig-ME] How to determine the length of the required burn-in until convergence in MCMCglmm package or another package   Euis Aqmaliyah
• [R-sig-ME] 3 level multivariate multilevel model   Aydin,Burak
• [R-sig-ME] random effect latent variable model,   Baldwin, Jim -FS
• [R-sig-ME] Binary response animal models in MCMCglmm   Jacob Berson
• [R-sig-ME] Binary response animal models in MCMCglmm   Jacob Berson
• [R-sig-ME] glmmADMB question   Ben Bolker
• [R-sig-ME] force lmer/glmer to use known random effects   Ben Bolker
• [R-sig-ME] glmmADMB question   Ben Bolker
• [R-sig-ME] x axis wrong with effects to plot an interaction based on lme4   Ben Bolker
• [R-sig-ME] modeling question   Ben Bolker
• [R-sig-ME] modeling question   Ben Bolker
• [R-sig-ME] Need an advise on bias and MSE estimation   Ben Bolker
• [R-sig-ME] modeling question   Ben Bolker
• [R-sig-ME] modeling question   Ben Bolker
• [R-sig-ME] Identify large residuals   Ben Bolker
• [R-sig-ME] random slope by treatment interaction: specification   Ben Bolker
• [R-sig-ME] Patch for pedigreemm 0.3-3 plus questions   Ben Bolker
• [R-sig-ME] Help   Ben Bolker
• [R-sig-ME] Advice on Mixed Models   Ben Bolker
• [R-sig-ME] GLMM - selection of models   Ben Bolker
• [R-sig-ME] How the interpret non-significant Intercept value in Fixed Effects Table?   Ben Bolker
• [R-sig-ME] Appropriate formula for my mixed-effects model   Ben Bolker
• [R-sig-ME] Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation   Ben Bolker
• [R-sig-ME] Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation   Ben Bolker
• [R-sig-ME] GLMM - R squared   Ben Bolker
• [R-sig-ME] Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation   Ben Bolker
• [R-sig-ME] How to determine the length of the required burn-in until convergence in MCMCglmm package or another package   Ben Bolker
• [R-sig-ME] How to determine the length of the required burn-in until convergence in MCMCglmm package or another package   Ben Bolker
• [R-sig-ME] glmmADMB question   Jennifer Botting
• [R-sig-ME] GLMM for underdispersed count data: Conway-Maxwell-Poisson and Ordinal   Mollie Brooks
• [R-sig-ME] glmmTMB and foreach parallel adaptor   Mollie Brooks
• [R-sig-ME] brms: Multivariate LMEM with systematic missing data   Paul Buerkner
• [R-sig-ME] brms: Multivariate LMEM with systematic missing data   Paul Buerkner
• [R-sig-ME] Advice on comparing non-nested random slope models   Paul Buerkner
• [R-sig-ME] Understanding variance components   Chen, Gang (NIH/NIMH) [C]
• [R-sig-ME] Understanding variance components   Chen, Gang (NIH/NIMH) [C]
• [R-sig-ME] Understanding variance components   Chen, Gang (NIH/NIMH) [C]
• [R-sig-ME] Understanding variance components   Chen, Gang (NIH/NIMH) [C]
• [R-sig-ME] multivariate mixed nested model   Claudio
• [R-sig-ME] multivariate mixed nested model   Claudio
• [R-sig-ME] multivariate mixed nested model   Claudio
• [R-sig-ME] multivariate mixed nested model   Claudio
• [R-sig-ME] multivariate mixed nested model   Claudio
• [R-sig-ME] nlme vs nlme4   Cole, Tim
• [R-sig-ME] Prior for a bivariate model   Grégory DANIEL
• [R-sig-ME] Advice on comparing non-nested random slope models   Craig DeMars
• [R-sig-ME] Advice on comparing non-nested random slope models   Craig DeMars
• [R-sig-ME] multivariate mixed nested model   Paul Debes
• [R-sig-ME] glmm on paired data with repeated measures   Mariano Devoto
• [R-sig-ME] Mixed additive model question   Diaz, Eliecer R
• [R-sig-ME] Random intercept/slopes on two correlated outcomes   Ramon Diaz-Uriarte
• [R-sig-ME] random slope by treatment interaction: specification   Ramon Diaz-Uriarte
• [R-sig-ME] random slope by treatment interaction: specification   Ramon Diaz-Uriarte
• [R-sig-ME] variance estimates differ glmer vs lme   Vincenzo Ellis
• [R-sig-ME] Prior for a bivariate model   Malcolm Fairbrother
• [R-sig-ME] random effect latent variable model,   Alex Fine
• [R-sig-ME] x axis wrong with effects to plot an interaction based on lme4   Fox, John
• [R-sig-ME] multivariate mixed nested model   Ludovico Frate
• [R-sig-ME] multivariate mixed nested model   Ludovico Frate
• [R-sig-ME] ZIPoisson MCMCglmm: potential non-independence of random effect repeat number and response variable   Jarrod Hadfield
• [R-sig-ME] Correct specification of nested binomial mixed model with custom intercept to infer variance components and intraclass correlations   Jarrod Hadfield
• [R-sig-ME] Correct specification of nested binomial mixed model with custom intercept to infer variance components and intraclass correlations   Jarrod Hadfield
• [R-sig-ME] brms: Multivariate LMEM with systematic missing data   Jarrod Hadfield
• [R-sig-ME] Specification Noninformative Prior with Jeffrey's Method in MCMCglmm function   Jarrod Hadfield
• [R-sig-ME] How to determine the length of the required burn-in until convergence in MCMCglmm package or another package   Jarrod Hadfield
• [R-sig-ME] Binary response animal models in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Binary response animal models in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] How to determine the length of the required burn-in until convergence in MCMCglmm package or another package   Jarrod Hadfield
• [R-sig-ME] How to determine the length of the required burn-in until convergence in MCMCglmm package or another package   Jarrod Hadfield
• [R-sig-ME] How to vary residual variance with covariate and per factor in mcmcGLMM   Jarrod Hadfield
• [R-sig-ME] How to vary residual variance with covariate and per factor in mcmcGLMM   Jarrod Hadfield
• [R-sig-ME] Unsubscribe mailinglist   Hartgerink, D.M. (Marjolein)
• [R-sig-ME] multivariate glmm   Torsten Hauffe
• [R-sig-ME] How to model multilevel data of repeated measures using nlme function in R? and Is it okay to include categorical variable to random slopes model?   Ilgim Hepdarcan
• [R-sig-ME] Multilevel Model in R   Ilgim Hepdarcan
• [R-sig-ME] How the interpret non-significant Intercept value in Fixed Effects Table?   Ilgim Hepdarcan
• [R-sig-ME] ZIPoisson MCMCglmm: potential non-independence of random effect repeat number and response variable   Rebecca Hooper
• [R-sig-ME] Random intercept/slopes on two correlated outcomes   Houslay, Tom
• [R-sig-ME] random effect latent variable model,   Ren-Huai Huang
• [R-sig-ME] random effect latent variable model,   Ren-Huai Huang
• [R-sig-ME] Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation   Michael Hyland
• [R-sig-ME] Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation   Michael Hyland
• [R-sig-ME] Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation   Michael Hyland
• [R-sig-ME] Patch for pedigreemm 0.3-3 plus questions   Roby Joehanes
• [R-sig-ME] Patch for pedigreemm 0.3-3 plus questions   Roby Joehanes
• [R-sig-ME] force lmer/glmer to use known random effects   Alexia Jolicoeur-Martineau
• [R-sig-ME] How to Model U-Shaped Distribution in LME4   David Jones
• [R-sig-ME] marginal R square calculation in zero truncated poisson model   Stephanie Kalberer
• [R-sig-ME] Question concerning the reduction of random effects   Tibor Kiss
• [R-sig-ME] Question concerning the reduction of random effects   Tibor Kiss
• [R-sig-ME] Question concerning the reduction of random effects   Tibor Kiss
• [R-sig-ME] glmmTMB and foreach parallel adaptor   Sophia Kyriakou
• [R-sig-ME] glmmTMB and foreach parallel adaptor   Sophia Kyriakou
• [R-sig-ME] Quadratic term in linear model and model over-parameterization   Ulf Köther
• [R-sig-ME] How to pairwise comparisons with lsmeansLT   Lenth, Russell V
• [R-sig-ME] Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation   Dexter Locke
• [R-sig-ME] unreliable DIC vs. how to evaluate complex interactions in MCMCglmm   Steven Long
• [R-sig-ME] unreliable DIC vs. how to evaluate complex interactions in MCMCglmm   Steven Long
• [R-sig-ME] Crete stats course   Highland Statistics Ltd
• [R-sig-ME] Identify large residuals   Stuart Luppescu
• [R-sig-ME] Identify large residuals   Stuart Luppescu
• [R-sig-ME] Random intercept/slopes on two correlated outcomes   Theodore Lytras
• [R-sig-ME] Random intercept/slopes on two correlated outcomes   Theodore Lytras
• [R-sig-ME] Prediction interval for the difference of a pair of outcomes   Theodore Lytras
• [R-sig-ME] Mixed models and time series   Roberto Mannu
• [R-sig-ME] problems to run MCMCglmm to estimate heritability   Juan Jose Martinez
• [R-sig-ME] GLMM - selection of models   Marcos Monasterolo
• [R-sig-ME] GLMM - R squared   Marcos Monasterolo
• [R-sig-ME] nlme vs nlme4   Vito Michele Rosario Muggeo
• [R-sig-ME] brms: Multivariate LMEM with systematic missing data   Koen Neijenhuijs
• [R-sig-ME] brms: Multivariate LMEM with systematic missing data   Koen Neijenhuijs
• [R-sig-ME] brms: Multivariate LMEM with systematic missing data   Koen Neijenhuijs
• [R-sig-ME] 3 level multivariate multilevel model   Thierry Onkelinx
• [R-sig-ME] force lmer/glmer to use known random effects   Thierry Onkelinx
• [R-sig-ME] Random effect 'overlap' with fixed effect   Thierry Onkelinx
• [R-sig-ME] Modeling truncated counts with glmer   Thierry Onkelinx
• [R-sig-ME] Modeling truncated counts with glmer   Thierry Onkelinx
• [R-sig-ME] Mixes effect with polynomial term   Thierry Onkelinx
• [R-sig-ME] multivariate mixed nested model   Thierry Onkelinx
• [R-sig-ME] Random intercept/slopes on two correlated outcomes   Thierry Onkelinx
• [R-sig-ME] Random intercept/slopes on two correlated outcomes   Thierry Onkelinx
• [R-sig-ME] Modeling truncated counts with glmer   Thierry Onkelinx
• [R-sig-ME] multivariate mixed nested model   Thierry Onkelinx
• [R-sig-ME] variance estimates differ glmer vs lme   Thierry Onkelinx
• [R-sig-ME] Help   Thierry Onkelinx
• [R-sig-ME] Quadratic term in linear model and model over-parameterization   Thierry Onkelinx
• [R-sig-ME] Repeated Observations Linear Mixed Model with Outside-Group Spatial Correlation   Thierry Onkelinx
• [R-sig-ME] Linear mixed effects   Thierry Onkelinx
• [R-sig-ME] fixing the value of some parameters in an lme or lmer model   Thierry Onkelinx
• [R-sig-ME] Modelling proportion data in lme4   Thierry Onkelinx
• [R-sig-ME] Modelling proportion data in lme4   Adriana De Palma
• [R-sig-ME] GLMM - selection of models   Philippi, Tom
• [R-sig-ME] glmmTMB and foreach parallel adaptor   Philippi, Tom
• [R-sig-ME] Linear mixed effects   Steve Pierce
• [R-sig-ME] question on lme4   Belinda Pletzer
• [R-sig-ME] Question concerning the reduction of random effects   Poe, John
• [R-sig-ME] Question concerning the reduction of random effects   Poe, John
• [R-sig-ME] How to Model U-Shaped Distribution in LME4   Poe, John
• [R-sig-ME] Advice on comparing non-nested random slope models   Poe, John
• [R-sig-ME] Understanding variance components   René
• [R-sig-ME] Help   Rose Rosei
• [R-sig-ME] Advice on Mixed Models   Rose Rosei
• [R-sig-ME] Fwd: Advice on Mixed Models   Rose Rosei
• [R-sig-ME] Appropriate formula for my mixed-effects model   Abhimanyu Sahai
• [R-sig-ME] Modeling truncated counts with glmer   João C P Santiago
• [R-sig-ME] Modeling truncated counts with glmer   João C P Santiago
• [R-sig-ME] Modeling truncated counts with glmer   João C P Santiago
• [R-sig-ME] Modeling truncated counts with glmer   João C P Santiago
• [R-sig-ME] How to pairwise comparisons with lsmeansLT   João C P Santiago
• [R-sig-ME] How to pairwise comparisons with lsmeansLT   João C P Santiago
• [R-sig-ME] GLMM for underdispersed count data: Conway-Maxwell-Poisson and Ordinal   Simone Santoro
• [R-sig-ME] Understanding variance components   Henrik Singmann
• [R-sig-ME] Understanding variance components   Henrik Singmann
• [R-sig-ME] Linear mixed effects   Victoria Stimple
• [R-sig-ME] fixing the value of some parameters in an lme or lmer model   Asher Strauss
• [R-sig-ME] MCMCglmm Predict failing with "NA/NaN/Inf in foreign function call" for binary responses   Will Styler
• [R-sig-ME] MCMCglmm Predict failing with "NA/NaN/Inf in foreign function call" for binary responses   Will Styler
• [R-sig-ME] How to vary residual variance with covariate and per factor in mcmcGLMM   LOMMEN Suzanne
• [R-sig-ME] How to vary residual variance with covariate and per factor in mcmcGLMM   LOMMEN Suzanne
• [R-sig-ME] nlme vs nlme4   Therneau, Terry M., Ph.D.
• [R-sig-ME] GLMM inverse gaussian and treatment contrasts (response times)   João Veríssimo
• [R-sig-ME] glmmTMB and foreach parallel adaptor   João Veríssimo
• [R-sig-ME] problems to run MCMCglmm to estimate heritability   Pierre de Villemereuil
• [R-sig-ME] Binary response animal models in MCMCglmm   Pierre de Villemereuil
• [R-sig-ME] Correct specification of nested binomial mixed model with custom intercept to infer variance components and intraclass correlations   Tom Wenseleers
• [R-sig-ME] Correct specification of nested binomial mixed model with custom intercept to infer variance components and intraclass correlations   Tom Wenseleers
• [R-sig-ME] Correct specification of nested binomial mixed model with custom intercept to infer variance components and intraclass correlations   Tom Wenseleers
• [R-sig-ME] Correct specification of nested binomial mixed model with custom intercept to infer variance components and intraclass correlations   Tom Wenseleers
• [R-sig-ME] Random effect 'overlap' with fixed effect   Chung-Huey Wu
• [R-sig-ME] x axis wrong with effects to plot an interaction based on lme4   caroleperso
• [R-sig-ME] Mixes effect with polynomial term   Pin chanratana
• [R-sig-ME] Advice on comparing non-nested random slope models   landon hurley
• [R-sig-ME] Need an advise on bias and MSE estimation   jas ni
• [R-sig-ME] Quadratic term in linear model and model over-parameterization   f_fran03 at uni-muenster.de
• [R-sig-ME] force lmer/glmer to use known random effects   ian m s white

Last message date: Fri Mar 31 14:41:48 CEST 2017
Archived on: Fri Mar 31 14:42:02 CEST 2017

• Messages sorted by: [ thread ] [ subject ] [ date ]
• More info on this list...