Fourth quarter 2017 Archives by date

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Starting: Mon Oct 2 02:25:58 CEST 2017
Ending: Tue Dec 26 17:38:05 CET 2017
Messages: 204

• [R-sig-ME] specifying crossed random effects for glmmPQL / lme   Ben Bolker
• [R-sig-ME] How to specify user-defined matrix Z?   Mollie Brooks
• [R-sig-ME] How to specify user-defined matrix Z?   Mollie Brooks
• [R-sig-ME] Linear mixed model in lme4   Diana Michl
• [R-sig-ME] Questions about design and convergence warnings   Dube, Umber
• [R-sig-ME] Questions about design and convergence warnings   Ben Bolker
• [R-sig-ME] adding objects into "glmerMod" fits   Vito Michele Rosario Muggeo
• [R-sig-ME] Questions about design and convergence warnings   Farrar, David
• [R-sig-ME] adding objects into "glmerMod" fits   Ben Bolker
• [R-sig-ME] adding objects into "glmerMod" fits   Henrik Singmann
• [R-sig-ME] https://stats.stackexchange.com/questions/301763/using-random-effect-predictions-in-other-models?noredirect=1#comment573574_301763   Joshua Rosenberg
• [R-sig-ME] Questions about design and convergence warnings   Dube, Umber
• [R-sig-ME] https://stats.stackexchange.com/questions/301763/using-random-effect-predictions-in-other-models?noredirect=1#comment573574_301763   Houslay, Tom
• [R-sig-ME] Questions about design and convergence warnings   Farrar, David
• [R-sig-ME] Questions about design and convergence warnings   Thierry Onkelinx
• [R-sig-ME] Questions about design and convergence warnings   Dube, Umber
• [R-sig-ME] specifying crossed random effects for glmmPQL / lme   Van Rynald Liceralde
• [R-sig-ME] https://stats.stackexchange.com/questions/301763/using-random-effect-predictions-in-other-models?noredirect=1#comment573574_301763   Joshua Rosenberg
• [R-sig-ME] https://stats.stackexchange.com/questions/301763/using-random-effect-predictions-in-other-models?noredirect=1#comment573574_301763   Jarrod Hadfield
• [R-sig-ME] https://stats.stackexchange.com/questions/301763/using-random-effect-predictions-in-other-models?noredirect=1#comment573574_301763   Houslay, Tom
• [R-sig-ME] degree of freedom is non-integer from lmerTest   Yuqi Liu
• [R-sig-ME] degree of freedom is non-integer from lmerTest   Jake Westfall
• [R-sig-ME] specifying crossed random effects for glmmPQL / lme   Phillip Alday
• [R-sig-ME] Binomial glmer with time dependency   Luca Corlatti
• [R-sig-ME] spatial covariance structure in glmmTMB   Alice Domalik
• [R-sig-ME] spatial covariance structure in glmmTMB   Mollie Brooks
• [R-sig-ME] mixed-effects model with partially nested fixed effects   Yuqi Liu
• [R-sig-ME] mixed-effects model with partially nested fixed effects   Jake Westfall
• [R-sig-ME] spatial covariance structure in glmmTMB   Alice Domalik
• [R-sig-ME] ZINB model validation and interpretation   Ben Bolker
• [R-sig-ME] spatial covariance structure in glmmTMB   Ben Bolker
• [R-sig-ME] effective sample size in MCMCglmm   dani
• [R-sig-ME] tracePlot for a huge MCMCglmm model   dani
• [R-sig-ME] effective sample size in MCMCglmm   Matthew
• [R-sig-ME] effective sample size in MCMCglmm   dani
• [R-sig-ME] effective sample size in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] effective sample size in MCMCglmm   dani
• [R-sig-ME] MCMCglmm binary data   Walid Mawass
• [R-sig-ME] spatial covariance structure in glmmTMB   Alice Domalik
• [R-sig-ME] MCMCglmm binary data   Pierre de Villemereuil
• [R-sig-ME] Using LRT with alpha = .2 in model reduction guided by PCA   Maarten Jung
• [R-sig-ME] MCMCglmm binary data   Jarrod Hadfield
• [R-sig-ME] subjects assigned to treatment groups, multiple repeated measures over time   P Greenwood
• [R-sig-ME] subjects assigned to treatment groups, multiple repeated measures over time   Ben Bolker
• [R-sig-ME] subjects assigned to treatment groups, multiple repeated measures over time   P Greenwood
• [R-sig-ME] Model within subjects treatment variable and multiple measurements per treatment: is this the correct model?   Nynke l
• [R-sig-ME] r-sig-mixed-models at r-project.org: multiple dependent variables in lmer()   Dumuid, Dorothea - tridy002
• [R-sig-ME] Normal data vs normal residuals   Célia Sofia Moreira
• [R-sig-ME] Normal data vs normal residuals   Ben Bolker
• [R-sig-ME] Extracting standardized residuals from a gamma(log) glmmTMB   Aoibheann Gaughran
• [R-sig-ME] Extracting standardized residuals from a gamma(log) glmmTMB   Jeff Newmiller
• [R-sig-ME] Extracting standardized residuals from a gamma(log) glmmTMB   Mollie Brooks
• [R-sig-ME] Extracting standardized residuals from a gamma(log) glmmTMB   Ben Bolker
• [R-sig-ME] Extracting standardized residuals from a gamma(log) glmmTMB   Ben Bolker
• [R-sig-ME] Model within subjects treatment variable and multiple measurements per treatment: is this the correct model?   Voeten, C.C.
• [R-sig-ME] glmmADMB errors   andreu blanco
• [R-sig-ME] Course: Introduction to regression models with spatial and temporal correlation using R-INLA   Highland Statistics Ltd
• [R-sig-ME] Mixed model with dependent compositional data   Dumuid, Dorothea - tridy002
• [R-sig-ME] Mixed model with dependent compositional data   Dumuid, Dorothea - tridy002
• [R-sig-ME] Mixed models with dependent compositional data   Dot Dumuid
• [R-sig-ME] random slope and intercept in gamlss   Mollie Brooks
• [R-sig-ME] r-sig-mixed-models at r-project.org: multiple dependent variables in lmer()   Viechtbauer Wolfgang (SP)
• [R-sig-ME] glmmADMB errors   Mollie Brooks
• [R-sig-ME] glmmADMB errors   andreu blanco
• [R-sig-ME] glmmADMB errors   Mollie Brooks
• [R-sig-ME] glmmADMB errors   Ben Bolker
• [R-sig-ME] coefplot2 in conjunction with glmmTMB and glmer   dani
• [R-sig-ME] coefplot2 in conjunction with glmmTMB and glmer   Ben Bolker
• [R-sig-ME] coefplot2 in conjunction with glmmTMB and glmer   dani
• [R-sig-ME] r-sig-mixed-models at r-project.org: multiple dependent variables in lmer()   Dumuid, Dorothea - tridy002
• [R-sig-ME] glmmADMB errors   andreu blanco
• [R-sig-ME] fitting a MCMCglmm zero-inflated model   dani
• [R-sig-ME] fitting a MCMCglmm zero-inflated model   Jarrod Hadfield
• [R-sig-ME] fitting a MCMCglmm zero-inflated model   dani
• [R-sig-ME] Gamma-shape parameter extraction   andreu blanco
• [R-sig-ME] reporting model estimates values   Juan Pablo Edwards Molina
• [R-sig-ME] reporting model estimates values   Ben Bolker
• [R-sig-ME] reporting model estimates values   Ben Bolker
• [R-sig-ME] reporting model estimates values   Juan Pablo Edwards Molina
• [R-sig-ME] compare two GAMM4 models using AICs   dani
• [R-sig-ME] reporting model estimates values   Fox, John
• [R-sig-ME] broom package and MCMCglmm estimates   dani
• [R-sig-ME] broom package and MCMCglmm estimates   Pierre de Villemereuil
• [R-sig-ME] compare two GAMM4 models using AICs   Highland Statistics Ltd
• [R-sig-ME] compare two GAMM4 models using AICs   dani
• [R-sig-ME] broom package and MCMCglmm estimates   dani
• [R-sig-ME] broom package and MCMCglmm estimates   Ben Bolker
• [R-sig-ME] broom package and MCMCglmm estimates   dani
• [R-sig-ME] broom package and MCMCglmm estimates   HAJDUK Gabriela
• [R-sig-ME] Residual Variance or Dispersion of Gamma GLMER   andreu blanco
• [R-sig-ME] broom package and MCMCglmm estimates   dani
• [R-sig-ME] Residual Variance or Dispersion of Gamma GLMER   Highland Statistics Ltd
• [R-sig-ME] compare two GAMM4 models using AICs   Highland Statistics Ltd
• [R-sig-ME] compare two GAMM4 models using AICs   dani
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   dani
• [R-sig-ME] Residual Variance or Dispersion of Gamma GLMER   Ben Bolker
• [R-sig-ME] Residual Variance or Dispersion of Gamma GLMER   andreu blanco
• [R-sig-ME] prior specification for bivariate MCMCglmm model   Walid Mawass
• [R-sig-ME] constrain random effect in lmer (fitting reduced model for calculation of Cohen's f2)   João Veríssimo
• [R-sig-ME] Course in Lisbon: Introduction to Linear Mixed Effects Models and GLMM with R   Highland Statistics Ltd
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   Pierre de Villemereuil
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   dani
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   dani
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   Pierre de Villemereuil
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   dani
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   Pierre de Villemereuil
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   dani
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   Jarrod Hadfield
• [R-sig-ME] compare two GAMM4 models using AICs   Gavin Simpson
• [R-sig-ME] ggplot of Hurdle model   andreu blanco
• [R-sig-ME] ggplot of Hurdle model   Mollie Brooks
• [R-sig-ME] ggplot of Hurdle model   andreu blanco
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   dani
• [R-sig-ME] compare two GAMM4 models using AICs   dani
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   Jarrod Hadfield
• [R-sig-ME] ggplot of Hurdle model   Highland Statistics Ltd
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   dani
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   dani
• [R-sig-ME] ZIP MCMCglmm - how to increase effective sample size?   dani
• [R-sig-ME] zero-truncated negative binomial distribution   Alice Domalik
• [R-sig-ME] zero-truncated negative binomial distribution   Ben Bolker
• [R-sig-ME] zero-truncated negative binomial distribution   Alice Domalik
• [R-sig-ME] zero-truncated negative binomial distribution   Highland Statistics Ltd
• [R-sig-ME] Course "Introduction to Mixed (Hierarchical) models for biologists using R"   Oliver Hooker
• [R-sig-ME] spatial covariance structure in glmmTMB   Mollie Brooks
• [R-sig-ME] Intro to Bayesian mixed (hierarchical) modelling   Oliver Hooker
• [R-sig-ME] Negative and zero value on mixed models   moses selebatso
• [R-sig-ME] Negative and zero value on mixed models   Thierry Onkelinx
• [R-sig-ME] Negative and zero value on mixed models (moses selebatso)   Highland Statistics Ltd
• [R-sig-ME] diagnostic test meta analysis using glmer   Nathan Pace
• [R-sig-ME] diagnostic test meta analysis using glmer   Thierry Onkelinx
• [R-sig-ME] diagnostic test meta analysis using glmer   Nathan Pace
• [R-sig-ME] Problems fitting GLMM and getting AIC   Mario Garrido
• [R-sig-ME] Two-part question about inference and model structure   Dan
• [R-sig-ME] lme4 merMod model object   Nathan Pace
• [R-sig-ME] lme4 merMod model object   Fox, John
• [R-sig-ME] lme4 merMod model object   Nathan Pace
• [R-sig-ME] ZIGLMM for count and temporal data   Anton Baotic
• [R-sig-ME] lme4 merMod model object   Fox, John
• [R-sig-ME] ZIGLMM for count and temporal data   Highland Statistics Ltd
• [R-sig-ME] Problems fitting GLMM and getting AIC   Thierry Onkelinx
• [R-sig-ME] Selection of the appropriate random structure in a partially non counterbalanced experimental design   Paolo Canal
• [R-sig-ME] Problems fitting GLMM and getting AIC   Mollie Brooks
• [R-sig-ME] glmmTMB and ar1   Jarrod Hadfield
• [R-sig-ME] glmmTMB and ar1   Ben Bolker
• [R-sig-ME] glmmTMB and ar1   Jarrod Hadfield
• [R-sig-ME] fixed observation-level variance in glmm   Coe, Richard (ICRAF)
• [R-sig-ME] fixed observation-level variance in glmm   Paul Buerkner
• [R-sig-ME] Re (2):   ned.dochtermann
• [R-sig-ME] blocked diagonal R structures model convergence   Robert Griffin
• [R-sig-ME] Doubt about scaling random effects   Douglas Bates
• [R-sig-ME] WAIC calculation in MCMCglmm   Jed Macdonald
• [R-sig-ME] Diagonal covariance matrix of random effects when using natural splines in lme4   xavier piulachs
• [R-sig-ME] Diagonal covariance matrix of random effects when using natural splines in lme4   Paul Buerkner
• [R-sig-ME] blocked diagonal R structures model convergence   Jarrod Hadfield
• [R-sig-ME] WAIC calculation in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] post-hoc tests of lmerTest models using lsmeans   Yuqi Liu
• [R-sig-ME] post-hoc tests of lmerTest models using lsmeans   Chuck Cleland
• [R-sig-ME] WAIC calculation in MCMCglmm   Jed Macdonald
• [R-sig-ME] post-hoc tests of lmerTest models using lsmeans   Lenth, Russell V
• [R-sig-ME] model specification in lmer   silvia.matesanzgarcia at gmail.com
• [R-sig-ME] model specification in lmer   silvia.matesanzgarcia at gmail.com
• [R-sig-ME] model specification in lmer   Voeten, C.C.
• [R-sig-ME] model specification in lmer   silvia.matesanzgarcia at gmail.com
• [R-sig-ME] model specification in lmer   Paul Johnson
• [R-sig-ME] model specification in lmer   Paul Johnson
• [R-sig-ME] model specification in lmer   silvia.matesanzgarcia at gmail.com
• [R-sig-ME] model specification in lmer   Paul Johnson
• [R-sig-ME] GLM question   dorothy borowy
• [R-sig-ME] glm model with all zeros for one of the factor level   Juan Pablo Edwards Molina
• [R-sig-ME] Choosing best approach for a crossover experiment   Bradley Carlson
• [R-sig-ME] glm model with all zeros for one of the factor level   Paul Johnson
• [R-sig-ME] glm model with all zeros for one of the factor level   Ben Bolker
• [R-sig-ME] glm model with all zeros for one of the factor level   Juan Pablo Edwards Molina
• [R-sig-ME] repeated measures and random effects question   Moore, James Roy
• [R-sig-ME] repeated measures and random effects question   Thierry Onkelinx
• [R-sig-ME] Choosing best approach for a crossover experiment   Thierry Onkelinx
• [R-sig-ME] Plotting partial residuals from a glmmADMB model   Sivakoff, Frances
• [R-sig-ME] testing significance of fixed factors in a mixed model   Julia Chacon Labella
• [R-sig-ME] testing significance of fixed factors in a mixed model   Ben Bolker
• [R-sig-ME] Plotting partial residuals from a glmmADMB model   Ben Bolker
• [R-sig-ME] multinomial model with MCMCglmm   Cate Ferrari
• [R-sig-ME] testing significance of fixed factors in a mixed model   Julia Chacon Labella
• [R-sig-ME] Mixed effects model with unbalanced repeated measures across blocks   M West
• [R-sig-ME] Package glmmADMB   Rodrigo Malavazi Corder
• [R-sig-ME] Mixed Models in a very basic replication design   Tim Richter-Heitmann
• [R-sig-ME] Mixed Models in a very basic replication design   Peter Claussen
• [R-sig-ME] Mixed Models in a very basic replication design   Tim Richter-Heitmann
• [R-sig-ME] Mixed Models in a very basic replication design   Peter Claussen
• [R-sig-ME] Package glmmADMB   Paul Johnson
• [R-sig-ME] indirect maternal genetic effects   Walid Mawass
• [R-sig-ME] repeated measurements of continuous predictors and continuous response variable   Slawomir Wierzchon
• [R-sig-ME] Plotting partial residuals from a glmmADMB model   Sivakoff, Frances
• [R-sig-ME] Significance of fixed factors using glmer   Silvia Matesanz García
• [R-sig-ME] Significance of fixed factors using glmer   Fox, John
• [R-sig-ME] repeated measurements of continuous predictors and continuous response variable   Slawomir Wierzchon
• [R-sig-ME] Use of pbkrtest to calculate Kenward-Roger approximation degrees of freedom   Joshua Rosenberg
• [R-sig-ME] repeated measurements of continuous predictors and continuous response variable   David Duffy
• [R-sig-ME] repeated measurements of continuous predictors and continuous response variable   Slawomir Wierzchon
• [R-sig-ME] Significance of fixed factors using glmer   Julia Chacon Labella
• [R-sig-ME] indirect maternal genetic effects   Jarrod Hadfield
• [R-sig-ME] Significance of fixed factors using glmer   Ben Bolker
• [R-sig-ME] Use of pbkrtest to calculate Kenward-Roger approximated degrees of freedom   Joshua Rosenberg
• [R-sig-ME] Use of pbkrtest to calculate Kenward-Roger approximated degrees of freedom   Joshua Rosenberg

Last message date: Tue Dec 26 17:38:05 CET 2017
Archived on: Tue Dec 26 17:38:20 CET 2017

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