Fourth quarter 2016 Archives by subject

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Starting: Sat Oct 1 09:35:45 CEST 2016
Ending: Sat Dec 31 12:07:14 CET 2016
Messages: 256

• [R-sig-ME] "varFunc" classes   Dan Jackson
• [R-sig-ME] "varFunc" classes   Thierry Onkelinx
• [R-sig-ME] "varFunc" classes   Viechtbauer Wolfgang (SP)
• [R-sig-ME] "varFunc" classes   Ben Bolker
• [R-sig-ME] "varFunc" classes   Dan Jackson
• [R-sig-ME] "varFunc" classes   Dan Jackson
• [R-sig-ME] "varFunc" classes   Ben Bolker
• [R-sig-ME] "varFunc" classes   dan jackson
• [R-sig-ME] "varFunc" classes   Dan Jackson
• [R-sig-ME] "varFunc" classes   Ben Bolker
• [R-sig-ME] "varFunc" classes   Dan Jackson
• [R-sig-ME] About glmer.nb   Levine, Michael
• [R-sig-ME] About glmer.nb   Ben Bolker
• [R-sig-ME] Advice on GLMM with verIdent   Diego Pavon
• [R-sig-ME] Advice on GLMM with verIdent   Thierry Onkelinx
• [R-sig-ME] Advice on GLMM with verIdent   Diego Pavon
• [R-sig-ME] Advice on GLMM with verIdent   Thierry Onkelinx
• [R-sig-ME] assumptions of discrete time survival analysis   shahla ebrahimi
• [R-sig-ME] Assumptions of random effects for unbiased estimates   Laura Dee
• [R-sig-ME] Assumptions of random effects for unbiased estimates   Ben Bolker
• [R-sig-ME] Assumptions of random effects for unbiased estimates   Jake Westfall
• [R-sig-ME] Assumptions of random effects for unbiased estimates   Poe, John
• [R-sig-ME] Assumptions of random effects for unbiased estimates   Jake Westfall
• [R-sig-ME] Assumptions of random effects for unbiased estimates   Poe, John
• [R-sig-ME] Assumptions of random effects for unbiased estimates   Malcolm Fairbrother
• [R-sig-ME] Assumptions of random effects for unbiased estimates   Laura Dee
• [R-sig-ME] Assumptions of random effects for unbiased estimates   Poe, John
• [R-sig-ME] Assumptions of random effects for unbiased estimates   Laura Dee
• [R-sig-ME] Beginner help for mixed effects model   Isabella Mandl
• [R-sig-ME] Beginner help for mixed effects model   Ben Bolker
• [R-sig-ME] binary trait   Mohamed Salem
• [R-sig-ME] binary trait   Jarrod Hadfield
• [R-sig-ME] binary trait   Mohamed Salem
• [R-sig-ME] binary trait   Jarrod Hadfield
• [R-sig-ME] bootstrapping random effects using confint() in lme4   Jonathan Miller
• [R-sig-ME] bootstrapping random effects using confint() in lme4   Ben Bolker
• [R-sig-ME] call for help   罗波
• [R-sig-ME] call for help   Carlos Familia
• [R-sig-ME] clmm2() thresholds - forcing symmetry around zero   Kristin Precoda
• [R-sig-ME] clmm2() thresholds - forcing symmetry around zero   Rune Haubo
• [R-sig-ME] Differences in standard and mixed effects logistic regression - rounding error or conceptual mistake?   mio nome
• [R-sig-ME] equation for linear mixed model for repeated measures data   Ahmad
• [R-sig-ME] equation for linear mixed model for repeated measures data   Thierry Onkelinx
• [R-sig-ME] equation for linear mixed model for repeated measures data   Ahmad
• [R-sig-ME] equation for linear mixed model for repeated measures data   David Winsemius
• [R-sig-ME] Erratic cross-platform behavior of glmmADMB   Gionata Bocci
• [R-sig-ME] Erratic cross-platform behavior of glmmADMB   dave fournier
• [R-sig-ME] Error in glmmADMB: no PSV file found -- link to known fix is broken   Mark Albins
• [R-sig-ME] Error in glmmADMB: no PSV file found -- link to known fix is broken   Ben Bolker
• [R-sig-ME] Exponent random effect in nlmer   Cole, Tim
• [R-sig-ME] Exponent random effect in nlmer   Thierry Onkelinx
• [R-sig-ME] Exponent random effect in nlmer   Cole, Tim
• [R-sig-ME] Exponent random effect in nlmer   Poe, John
• [R-sig-ME] Exponent random effect in nlmer   Thierry Onkelinx
• [R-sig-ME] Exponent random effect in nlmer   Cole, Tim
• [R-sig-ME] Exponent random effect in nlmer   Cole, Tim
• [R-sig-ME] Exponent random effect in nlmer   Cole, Tim
• [R-sig-ME] Exponent random effect in nlmer   Cole, Tim
• [R-sig-ME] fit correlation between two random effects   Nicolas Rode
• [R-sig-ME] FW: [Lme4-authors] sandwich estimators in lme4?   DeCesare, Nicholas
• [R-sig-ME] FW: Exponent random effect in nlmer   Ben Bolker
• [R-sig-ME] FW: R-sig-mixed-models Digest, Vol 120, Issue 10: Doug Bates Notebooks on Mixed Models in Julia   Carl Von Ende
• [R-sig-ME] Fwd: Error using nlme; Malformed factors   Wong Yoke Yong
• [R-sig-ME] Fwd: Error using nlme; Malformed factors   Thierry Onkelinx
• [R-sig-ME] Fwd: Re: unplausible zero intercept variance in lmer   Ben Bolker
• [R-sig-ME] gamm error/problem fitting a smooth by factor   Mathew Guilfoyle
• [R-sig-ME] gamm error/problem fitting a smooth by factor   Ben Bolker
• [R-sig-ME] GEE and GLMM convergence issues   Arianna Cecchetti
• [R-sig-ME] Generalized Linerar Model vs Logistic regression   Cleber Iack
• [R-sig-ME] Generalized Linerar Model vs Logistic regression   Ben Bolker
• [R-sig-ME] Generalized Linerar Model vs Logistic regression   Ben Bolker
• [R-sig-ME] glmer function in lme4   Bares, Valerie
• [R-sig-ME] GLM for comparing relative growth rates under different conditions   Daniel Rubi
• [R-sig-ME] GLMM - Firefly Flash   Vickly Mobilim
• [R-sig-ME] GLMM -Firefly Flash   Vickly Mobilim
• [R-sig-ME] GLMM -Firefly Flash   Thierry Onkelinx
• [R-sig-ME] GLMM -Firefly Flash   Thierry Onkelinx
• [R-sig-ME] GLMM -Firefly Flash   Vickly Mobilim
• [R-sig-ME] GLMM for underdispersed count data: Conway-Maxwell-Poisson and Ordinal   Simone Santoro
• [R-sig-ME] GLMM for underdispersed count data: Conway-Maxwell-Poisson and Ordinal   Mollie Brooks
• [R-sig-ME] GLMM for underdispersed count data: Conway-Maxwell-Poisson and Ordinal   Ben Bolker
• [R-sig-ME] GLMM for underdispersed count data: Conway-Maxwell-Poisson and Ordinal   Jonathan Judge
• [R-sig-ME] GLMM for underdispersed count data: Conway-Maxwell-Poisson and Ordinal   Simone Santoro
• [R-sig-ME] GLMM for underdispersed count data: Conway-Maxwell-Poisson and Ordinal   Paul Buerkner
• [R-sig-ME] GLMM for underdispersed count data: Conway-Maxwell-Poisson and Ordinal   Mollie Brooks
• [R-sig-ME] GLMM for underdispersed count data: Conway-Maxwell-Poisson and Ordinal   Simone Santoro
• [R-sig-ME] GLMM for underdispersed count data: Conway-Maxwell-Poisson and Ordinal   Ben Bolker
• [R-sig-ME] GLMM with bounded parameters   Pierre de Villemereuil
• [R-sig-ME] GLMM with bounded parameters   Pierre de Villemereuil
• [R-sig-ME] GLMM with bounded parameters   Thierry Onkelinx
• [R-sig-ME] GLMM with bounded parameters   François Rousset
• [R-sig-ME] GLMM with bounded parameters   Pierre de Villemereuil
• [R-sig-ME] GLMM with bounded parameters   Ben Bolker
• [R-sig-ME] G vs R posterior correlation in bivariate MCMCglmm   Xav Harrison
• [R-sig-ME] G vs R posterior correlation in bivariate MCMCglmm   Jarrod Hadfield
• [R-sig-ME] G vs R posterior correlation in bivariate MCMCglmm   Xav Harrison
• [R-sig-ME] Help with Linear Model   Joseph Aidoo
• [R-sig-ME] Help with Linear Model   Phillip Alday
• [R-sig-ME] Help with Linear Model   Phillip Alday
• [R-sig-ME] Help with Linear Model   Phillip Alday
• [R-sig-ME] Help with Linear Model   Phillip Alday
• [R-sig-ME] Hi   Linda.Buergi
• [R-sig-ME] How does lmer treat a date.format (as.Date) variable?   Meytar Sorek-Hamer
• [R-sig-ME] How does lmer treat a date.format (as.Date) variable?   Ben Bolker
• [R-sig-ME] How to do exponential regression mixed effect model with function 'negexp.SSival'?   Ronny Steen
• [R-sig-ME] How to estimate the standard error of every single random intercept in a mixed linear model?   Chen Chun
• [R-sig-ME] How to estimate the standard error of every single random intercept in a mixed linear model?   Phillip Alday
• [R-sig-ME] How to estimate the standard error of every single random intercept in a mixed linear model?   Phillip Alday
• [R-sig-ME] How to perform a latent variable model over a random effect,   Ren-Huai Huang
• [R-sig-ME] Latent class in Gaussian Mixture model   jas ni
• [R-sig-ME] lmertest - pairwise comparison p-value correction   S Ellison
• [R-sig-ME] lmertest - pairwise comparison p-value correction   Phillip Alday
• [R-sig-ME] lmertest - pairwise comparison p-value correction   Phillip Alday
• [R-sig-ME] Managing person identifier variable   MACDOUGALL Margaret
• [R-sig-ME] Managing person identifier variable   Marc Schwartz
• [R-sig-ME] Managing person identifier variable   Theodore Lytras
• [R-sig-ME] Managing person identifier variable   Marc Schwartz
• [R-sig-ME] Managing person identifier variable   MACDOUGALL Margaret
• [R-sig-ME] MCMCglmm multivariate meta-analysis with covariance   Jon Bischof
• [R-sig-ME] MCMCglmm multivariate meta-analysis with covariance   Jon Bischof
• [R-sig-ME] MCMCglmm multivariate meta-analysis with covariance   Jarrod Hadfield
• [R-sig-ME] MCMCglmm multivariate meta-analysis with covariance   Viechtbauer Wolfgang (SP)
• [R-sig-ME] MCMCglmm multivariate meta-analysis with covariance   Jon Bischof
• [R-sig-ME] MCMCglmm multivariate meta-analysis with covariance   Jarrod Hadfield
• [R-sig-ME] MCMCglmm multivariate meta-analysis with covariance   Jon Bischof
• [R-sig-ME] MCMCglmm multivariate meta-analysis with covariance   Jarrod Hadfield
• [R-sig-ME] MCMCglmm multivariate meta-analysis with covariance   Jon Bischof
• [R-sig-ME] MCMCglmm phylogenetically controlled categorical R structure and priors help   ben hogan
• [R-sig-ME] MCMCglmm phylogenetically controlled categorical R structure and priors help   Jarrod Hadfield
• [R-sig-ME] MCMCglmm Prior-set for zipoisson with continuous and categorical randoms   martinab
• [R-sig-ME] MCMCglmm Prior-set for zipoisson with continuous and categorical randoms   martin agirre barreña
• [R-sig-ME] MCMCglmm zero inflated poisson model issue   Rebecca Hooper
• [R-sig-ME] MCMCglmm zero inflated poisson model issue   Jarrod Hadfield
• [R-sig-ME] metafor: estimate correlation between response variables (meta-analysis)   Gustaf Granath
• [R-sig-ME] metafor: estimate correlation between response variables (meta-analysis)   Viechtbauer Wolfgang (SP)
• [R-sig-ME] metafor: estimate correlation between response variables (meta-analysis)   Gustaf Granath
• [R-sig-ME] metafor: estimate correlation between response variables (meta-analysis)   Viechtbauer Wolfgang (SP)
• [R-sig-ME] metafor: estimate correlation between response variables (meta-analysis)   Gustaf Granath
• [R-sig-ME] metafor: estimate correlation between response variables (meta-analysis)   Viechtbauer Wolfgang (SP)
• [R-sig-ME] metafor: estimate correlation between response variables (meta-analysis)   Gustaf Granath
• [R-sig-ME] metafor: estimate correlation between response variables (meta-analysis)   Viechtbauer Wolfgang (SP)
• [R-sig-ME] Mixed effect model, Hurdle function   Pin chanratana
• [R-sig-ME] Mixed effect model, Hurdle function   Ben Bolker
• [R-sig-ME] Mixed effect model, Hurdle function   Pin chanratana
• [R-sig-ME] Mixed model for compositional data   Stéphanie Périquet
• [R-sig-ME] Mixed model for compositional data   Thierry Onkelinx
• [R-sig-ME] Mixed model for compositional data   Stéphanie Périquet
• [R-sig-ME] Mixed model for compositional data   Stéphanie Périquet
• [R-sig-ME] Mixed Models convergence problems, Jordi Rosich   Jordi Rosich
• [R-sig-ME] Mixed Models convergence problems, Jordi Rosich   Phillip Alday
• [R-sig-ME] Mixed Models convergence problems, Jordi Rosich   Jordi Rosich
• [R-sig-ME] Mixed Models convergence problems, Jordi Rosich   Toni Hernandez-Matias
• [R-sig-ME] Mixed Models convergence problems, Jordi Rosich   David Duffy
• [R-sig-ME] Mixed Models convergence problems, Jordi Rosich   Ben Bolker
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Carlos Familia
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Thierry Onkelinx
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Carlos Familia
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Thierry Onkelinx
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Carlos Familia
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Thierry Onkelinx
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Carlos Familia
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Carlos Familia
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Thierry Onkelinx
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Paul Johnson
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Carlos Familia
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Thierry Onkelinx
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Carlos Familia
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Thierry Onkelinx
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Carlos Familia
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Fox, John
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Carlos Familia
• [R-sig-ME] Model diagnostics show slope in residuals plot and slope on the observed vs fitted plot is different than y = x   Fox, John
• [R-sig-ME] Modeling crossed/non-nested effects for a binomial probability   Devin McCabe
• [R-sig-ME] multivariate normality (MVN) assumption in MCMCglmm   John Morrongiello
• [R-sig-ME] nlme & varIdent   Louisell, Paul T PW
• [R-sig-ME] nlme & varIdent   Thierry Onkelinx
• [R-sig-ME] nlme, nlmer and gradient   Cole, Tim
• [R-sig-ME] Notebooks on some topics in mixed-effects modeling   Douglas Bates
• [R-sig-ME] p-values from lme::anova VS fixed-effects of lme   K Imran M
• [R-sig-ME] p-values from lme::anova VS fixed-effects of lme   Karl Ove Hufthammer
• [R-sig-ME] package "ordinal" - failure to converge and slow calculations   Diana Michl
• [R-sig-ME] parameter estimates for all factor levels MCMCglmm   Dena Paris
• [R-sig-ME] parameter estimates for all factor levels MCMCglmm   Jarrod Hadfield
• [R-sig-ME] parameter estimates for all factor levels MCMCglmm   Dena Paris
• [R-sig-ME] parameter estimates for all factor levels MCMCglmm   Conor Michael Goold
• [R-sig-ME] parsimonious mixed models   Wing Yee Chow
• [R-sig-ME] parsimonious mixed models   Phillip Alday
• [R-sig-ME] Poisson or Gaussian when modelling count data + heteroscedasticity in predictor variables   Luciana Motta
• [R-sig-ME] Poisson or Gaussian when modelling count data + heteroscedasticity in predictor variables   Tom Wilding
• [R-sig-ME] Poisson or Gaussian when modelling count data + heteroscedasticity in predictor variables   Luciana Motta
• [R-sig-ME] Poisson or Gaussian when modelling count data + heteroscedasticity in predictor variables   Ben Bolker
• [R-sig-ME] Poisson or Gaussian when modelling count data + heteroscedasticity in predictor variables   Anthony R. Ives
• [R-sig-ME] predict() with cumulative link mixed models fitted with clmm2   Miina Jari (Luke)
• [R-sig-ME] predict() with cumulative link mixed models fitted with clmm2   Rune Haubo
• [R-sig-ME] Priors for MCMCglmm with haplodiploid relatedness matrix   Michael Sheehan
• [R-sig-ME] Priors for MCMCglmm with haplodiploid relatedness matrix   Jarrod Hadfield
• [R-sig-ME] Priors for MCMCglmm with haplodiploid relatedness matrix   Matthew Wolak
• [R-sig-ME] Priors for MCMCglmm with haplodiploid relatedness matrix   Michael Sheehan
• [R-sig-ME] question about an unbalanced design using lmer   Xiyue Liao
• [R-sig-ME] question about an unbalanced design using lmer   Thierry Onkelinx
• [R-sig-ME] question about an unbalanced design using lmer   Henrik Singmann
• [R-sig-ME] question about an unbalanced design using lmer   Henrik Singmann
• [R-sig-ME] question about an unbalanced design using lmer   Henrik Singmann
• [R-sig-ME] question about an unbalanced design using lmer   Henrik Singmann
• [R-sig-ME] Question about the predict function in MCMCglmm   Joelle Mbatchou
• [R-sig-ME] Question about the predict function in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Question about the predict function in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Question about the predict function in MCMCglmm   Joelle Mbatchou
• [R-sig-ME] Question about the predict function in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Question about the predict function in MCMCglmm   Joelle Mbatchou
• [R-sig-ME] questions about parsimonious mixed models   Wing Yee Chow
• [R-sig-ME] questions about parsimonious mixed models   Reinhold Kliegl
• [R-sig-ME] Questions of nlme package in R   欧阳湘子
• [R-sig-ME] Questions of nlme package in R   Ben Bolker
• [R-sig-ME] Questions of nlme package in R   Ben Bolker
• [R-sig-ME] Questions on Mixed Model analysis   Cleber Iack
• [R-sig-ME] Questions on Mixed Model analysis   Ben Bolker
• [R-sig-ME] R-sig-mixed-models Digest, Vol 119, Issue 26   Cole, Tim
• [R-sig-ME] R-sig-mixed-models Digest, Vol 120, Issue 10: Doug Bates Notebooks on Mixed Models in Julia   Carl Von Ende
• [R-sig-ME] R-sig-mixed-models Digest, Vol 120, Issue 10: Doug Bates Notebooks on Mixed Models in Julia   Douglas Bates
• [R-sig-ME] Random intercept for subgroup   Luca Corlatti
• [R-sig-ME] request   anvarsour
• [R-sig-ME] ROC Curve - Mixed Model   Cleber Iack
• [R-sig-ME] Specify the appropriate model for an Event Related Potentials (ERPs) study: what should I do with trial order (and other terms)   Paolo Canal
• [R-sig-ME] Specify the appropriate model for an Event Related Potentials (ERPs) study: what should I do with trial order (and other terms)   Phillip Alday
• [R-sig-ME] Specify the appropriate model for an Event Related Potentials (ERPs) study: what should I do with trial order (and other terms)   Phillip Alday
• [R-sig-ME] Specify the appropriate model for an Event Related Potentials (ERPs) study: what should I do with trial order (and other terms)   Paolo Canal
• [R-sig-ME] Stats course in Montreal   Highland Statistics Ltd
• [R-sig-ME] Time-varying random effects   Marc Jacobs
• [R-sig-ME] Time-varying random effects   Thierry Onkelinx
• [R-sig-ME] Time-varying random effects   Ben Bolker
• [R-sig-ME] Time-varying random effects   Marc Jacobs
• [R-sig-ME] Time-varying random effects   Thierry Onkelinx
• [R-sig-ME] underdispersion, (Poisson vs Gaussian)   Luciana Motta
• [R-sig-ME] Using as.formula with glmmADMB   Alison Fairbrass
• [R-sig-ME] Using individual differences from model A as predictor in model B   Koen Neijenhuijs
• [R-sig-ME] Using individual differences from model A as predictor in model B   Thierry Onkelinx
• [R-sig-ME] Using individual differences from model A as predictor in model B   Koen Neijenhuijs
• [R-sig-ME] Using individual differences from model A as predictor in model B   Thierry Onkelinx
• [R-sig-ME] Using individual differences from model A as predictor in model B   Koen Neijenhuijs
• [R-sig-ME] variable-and person-centered approaches and multilevel models   Elisabeth Schubach
• [R-sig-ME] Weighting analysis in Lme4   justine briaux
• [R-sig-ME] Weighting analysis in Lme4   Ben Bolker
• [R-sig-ME] Weighting analysis in Lme4   Ben Pelzer
• [R-sig-ME] zero-inflated models in MCMCglmm   Gustaf Granath
• [R-sig-ME] zero-inflated models in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] zero-inflated models in MCMCglmm   Houslay, Tom
• [R-sig-ME] zero-inflated models in MCMCglmm   Gustaf Granath
• [R-sig-ME] zero-inflated models in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] zero-inflated models in MCMCglmm   Gustaf Granath
• [R-sig-ME] zero-inflated models in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] zero-inflated models in MCMCglmm   Gustaf Granath
• [R-sig-ME] zero-inflated models in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Zero-inflation with glmmadmb   Pin chanratana
• [R-sig-ME] 答复: Non-normal random effect in glmm   Chen Chun
• [R-sig-ME] 答复: Non-normal random effect in glmm   Thierry Onkelinx

Last message date: Sat Dec 31 12:07:14 CET 2016
Archived on: Sat Dec 31 12:07:25 CET 2016

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