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R-SIG-mixed-models May 2015

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Sunday, May 31, 2015 1 email
Malcolm Fairbrother MCMCglmm predictions with new data, marginalized with respect to random effects
Saturday, May 30, 2015 1 email
Lenth, Russell V MCMCglmm predictions with new data, marginalized with respect to random effects
Friday, May 29, 2015 1 email
Ben Bolker Zero cells in contrast matrix problem
Thursday, May 28, 2015 8 emails
Ben Bolker Zero cells in contrast matrix problem Ben Bolker Zero cells in contrast matrix problem rafter sass ferguson MCMCglmm priors for multi-response multi-level model Patrick, Samantha DHGLM Double hierarchical GLMs Rodrigo Travitzki multilevel analysis with sample weighted data Francesco Romano Zero cells in contrast matrix problem Ken Beath DHGLM Double hierarchical GLMs Paul Buerkner Release of the R package brms to fit Bayesian mixed effects models
Wednesday, May 27, 2015 8 emails
Alberto Gallano MCMCglmm predictions with new data, marginalized with respect to random effects Ben Bolker Zero cells in contrast matrix problem Manabu Sakamoto MCMCglmm prediction without marginalising Viechtbauer Wolfgang (STAT) Zero cells in contrast matrix problem Francesco Romano Zero cells in contrast matrix problem Douglas Bates lme4 and deviance Patrick, Samantha DHGLM Double hierarchical GLMs Douglas Bates different results from lme and lmer function
Tuesday, May 26, 2015 13 emails
Pantelis Z. Hadjipantelis different results from lme and lmer function Ben Bolker different results from lme and lmer function Pantelis Z. Hadjipantelis different results from lme and lmer function Ben Bolker different results from lme and lmer function John Sorkin different results from lme and lmer function Ben Bolker lme function to obtain pvalue for fixed effect Ben Bolker different results from lme and lmer function Li Li different results from lme and lmer function Li Li lme function to obtain pvalue for fixed effect Thierry Onkelinx lme function to obtain pvalue for fixed effect Li Li lme function to obtain pvalue for fixed effect byron vinueza lme function to obtain pvalue for fixed effect Li Li lme function to obtain pvalue for fixed effect
Monday, May 25, 2015 2 emails
Viechtbauer Wolfgang (STAT) metafor - Appropriate heterogeneity estimator when heterogeneity is extreme Theodore Lytras metafor - Appropriate heterogeneity estimator when heterogeneity is extreme
Friday, May 22, 2015 1 email
Viechtbauer Wolfgang (STAT) estimating AR1 parameters of level one error
Thursday, May 21, 2015 3 emails
Steve Candy estimating AR1 parameters of level one error Leithen error with parametric bootstrap for negative binomial model, lme4, pbkrtest Lauren Catherine Ponisio error with parametric bootstrap for negative binomial model, lme4, pbkrtest
Wednesday, May 20, 2015 3 emails
Nadège Jacot lme4 and deviance Viechtbauer Wolfgang (STAT) : estimating AR1 parameters of level one error using lme Steve Candy : estimating AR1 parameters of level one error using lme
Tuesday, May 19, 2015 4 emails
Alexandre Martin genetic effects and multiple membership in MCMCglmm (Alexandre Martin) Viechtbauer Wolfgang (STAT) estimating AR1 parameters of level one error using lme Thierry Onkelinx estimating AR1 parameters of level one error using lme Asher Strauss estimating AR1 parameters of level one error using lme
Monday, May 18, 2015 1 email
Daniel Wright estimating AR1 parameters of level one error using lme
Sunday, May 17, 2015 2 emails
Alberto Gallano MCMCglmm phylogenetic model with polymorphic binary outcome Gosse, Michelle toxicology dietary subchronic feed/weight analysis
Friday, May 15, 2015 9 emails
Asher Strauss estimating AR1 parameters of level one error using lme Susanne Susanne lmer(): Higher weight in case of more measurements Susanne Susanne lmer(): Higher weight in case of more measurements Steve Denham toxicology dietary subchronic feed/weight analysis Steve Denham toxicology dietary subchronic feed/weight analysis Ben Bolker lmer(): Higher weight in case of more measurements Bradley Carlson lmer(): Higher weight in case of more measurements Roman Luštrik lmer(): Higher weight in case of more measurements Susanne Susanne lmer(): Higher weight in case of more measurements
Thursday, May 14, 2015 4 emails
Ken Beath glmm question Szymek Drobniak genetic effects and multiple membership in MCMCglmm (Alexandre Martin) emre karaman direct-maternal correlation Joaquín Aldabe glmm question
Wednesday, May 13, 2015 5 emails
Ken Beath glmm question Joaquín Aldabe glmm question Joaquín Aldabe glmm question Alexandre Martin genetic effects and multiple membership in MCMCglmm Thierry Onkelinx random effects heteroscedasticity glmm
Tuesday, May 12, 2015 1 email
Lauren Catherine Ponisio random effects heteroscedasticity glmm
Monday, May 11, 2015 5 emails
Highland Statistics Ltd Course: Introduction to zero inflated models with R Ben Bolker heterogeneous variance models Hufthammer, Karl Ove heterogeneous variance models Aaron Mackey heterogeneous variance models Thierry Onkelinx toxicology dietary subchronic feed/weight analysis
Sunday, May 10, 2015 2 emails
Gosse, Michelle toxicology dietary subchronic feed/weight analysis Ben Bolker heterogeneous variance models
Saturday, May 9, 2015 2 emails
Napoleon Vargas Multiple threshold/ordinal traits in MCMCglmm Ken Beath GAMM big data (70K rand effects) guidance
Friday, May 8, 2015 8 emails
Peter Harrison Logistic modelling with guessing parameter Ken Knoblauch Logistic modelling with guessing parameter Mark Leeds another gls question Peter Harrison Logistic modelling with guessing parameter Hufthammer, Karl Ove another gls question Viechtbauer Wolfgang (STAT) Including a correlation matrix with the metafor package Thierry Onkelinx GAMM big data (70K rand effects) guidance Thierry Onkelinx another gls question
Thursday, May 7, 2015 12 emails
Ken Knoblauch Logistic modelling with guessing parameter Mark Leeds another gls question Ben Bolker Logistic modelling with guessing parameter Ben Bolker Logistic modelling with guessing parameter Bradley Carlson REML vs ML in lmerTest Peter Harrison Logistic modelling with guessing parameter Steve Bellan GAMM big data (70K rand effects) guidance Eike-Lena Neuschulz Including a correlation matrix with the metafor package Thierry Onkelinx Number of Iterations lme4 Jakob Gährken Number of Iterations lme4 Thierry Onkelinx question about gls in nlme Thierry Onkelinx Including an autocorrelation term dramatically reduces random variance (lme)
Wednesday, May 6, 2015 7 emails
Elizabeth Pasipanodya Interpreting the ACME in mediation Ken Beath gamm4 "no terms component nor attribute" Ben Bolker lmer: constraining sigma to 0 Mark Leeds question about gls in nlme Markus Brauer lmer: constraining sigma to 0 Robert Griffin estimates of low variance in mcmcglmm (cont.) David Villegas Ríos Including an autocorrelation term dramatically reduces random variance (lme)
Tuesday, May 5, 2015 5 emails
Steve Bellan gamm4 "no terms component nor attribute" Daniel Wright REML vs ML in lmerTest Bradley Carlson REML vs ML in lmerTest Daniel Wright REML vs ML in lmerTest Bradley Carlson REML vs ML in lmerTest
Monday, May 4, 2015 1 email
Magdalena Wiedermann mixed-effects model with crossed random effects
Sunday, May 3, 2015 3 emails
Thierry Onkelinx glmmADMB Ken Beath Using lme4 with very limited number of observations makes sense? Jonathan Baron Using lme4 with very limited number of observations makes sense?
Friday, May 1, 2015 2 emails
Li Li Random effect in ancova model Genevieve Perkins GlmmADMB: random slopes and fixed effects