First quarter 2015 Archives by subject

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Starting: Fri Jan 2 16:34:18 CET 2015
Ending: Tue Mar 31 17:25:12 CEST 2015
Messages: 336

• [R-sig-ME] (no subject)   mervat mohamed
• [R-sig-ME] (no subject)   Ben Bolker
• [R-sig-ME] [lme4 package] Does the order of rows(trials) in a data frame (long format) affect the results of the lmer model (maybe somehow)?   Zhaohong
• [R-sig-ME] [lme4 package] Does the order of rows(trials) in a data frame (long format) affect the results of the lmer model (maybe somehow)?   Ben Bolker
• [R-sig-ME] [lme4 package] Does the order of rows(trials) in a data frame (long format) affect the results of the lmer model (maybe somehow)?   Emmanuel Curis
• [R-sig-ME] [lme4 package] Does the order of rows(trials) in a data frame (long format) affect the results of the lmer model (maybe somehow)?   Daniel Wright
• [R-sig-ME] [lme4 package] Does the order of rows(trials) in a data frame (long format) affect the results of the lmer model (maybe somehow)?   Zhaohong
• [R-sig-ME] AUTO : No longer at Institut Curie   xavier.paoletti at curie.fr
• [R-sig-ME] Autoregressive covariance structure for lme object and R/SAS   Steve Candy
• [R-sig-ME] Autoregressive covariance structure for lme object and R/SAS   Philippi, Tom
• [R-sig-ME] Autoregressive covariance structure for lme object and R/SAS differences in model output   Andreas Nord
• [R-sig-ME] Autoregressive covariance structure for lme object and R/SAS differences in model output   Thierry Onkelinx
• [R-sig-ME] Back-transforming posterior means and credible intervals   Eric Michel
• [R-sig-ME] Back-transforming posterior means and credible intervals   Jarrod Hadfield
• [R-sig-ME] Bayesian course + GLMM course   Highland Statistics Ltd
• [R-sig-ME] Best way to handle missing data?   Bonnie Dixon
• [R-sig-ME] Best way to handle missing data?   Mitchell Maltenfort
• [R-sig-ME] Best way to handle missing data?   Bonnie Dixon
• [R-sig-ME] Best way to handle missing data?   landon hurley
• [R-sig-ME] Best way to handle missing data?   Ken Beath
• [R-sig-ME] Best way to handle missing data?   landon hurley
• [R-sig-ME] Best way to handle missing data?   Ken Beath
• [R-sig-ME] Best way to handle missing data?   Malcolm Fairbrother
• [R-sig-ME] Best way to handle missing data?   Bonnie Dixon
• [R-sig-ME] Best way to handle missing data?   Ken Beath
• [R-sig-ME] Best way to handle missing data?   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Best way to handle missing data?   Bonnie Dixon
• [R-sig-ME] Best way to handle missing data?   David Duffy
• [R-sig-ME] Best way to handle missing data?   Joseph Bulbulia
• [R-sig-ME] Best way to handle missing data?   Bonnie Dixon
• [R-sig-ME] Best way to handle missing data?   Malcolm Fairbrother
• [R-sig-ME] Best way to handle missing data?   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Best way to handle missing data?   Bonnie Dixon
• [R-sig-ME] Best way to handle missing data?   Malcolm Fairbrother
• [R-sig-ME] binary response, random factor   Boris Fuchs
• [R-sig-ME] Bivariate random regression model in MCMCglmm to estimate selection on reaction norm slopes   Phillip Gienapp
• [R-sig-ME] Bivariate random regression model in MCMCglmm to estimate selection on reaction norm slopes   Jarrod Hadfield
• [R-sig-ME] BLUPs of the random effects from MCMCglmm   Malcolm Fairbrother
• [R-sig-ME] BLUPs of the random effects from MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Book: Beginner's Guide to Data Exploration and Visualisation with R.   Highland Statistics Ltd
• [R-sig-ME] c++ exception (unknown reason) when using an offset of the slope with glmer   xavier.paoletti at curie.fr
• [R-sig-ME] c++ exception (unknown reason) when using an offset of the slope with glmer   Ben Bolker
• [R-sig-ME] c++ exception (unknown reason) when using an offset of the slope with glmer   xavier.paoletti at curie.fr
• [R-sig-ME] c++ exception (unknown reason) when using an offset of the slope with glmer   Ben Bolker
• [R-sig-ME] c++ exception (unknown reason) when using an offset of the slope with glmer   xavier.paoletti at curie.fr
• [R-sig-ME] c++ exception (unknown reason) when using an offset of the slope with glmer   Ben Bolker
• [R-sig-ME] c++ exception (unknown reason) when using an offset of the slope with glmer   Ben Bolker
• [R-sig-ME] c++ exception with logistic glmer   Cole, Tim
• [R-sig-ME] c++ exception with logistic glmer   David Duffy
• [R-sig-ME] c++ exception with logistic glmer   Cole, Tim
• [R-sig-ME] c++ exception with logistic glmer   Emmanuel Curis
• [R-sig-ME] c++ exception with logistic glmer   Cole, Tim
• [R-sig-ME] c++ exception with logistic glmer   Ken Beath
• [R-sig-ME] c++ exception with logistic glmer   Cole, Tim
• [R-sig-ME] Choosing appropriate priors for bglmer mixed models in blme   Josie Galbraith
• [R-sig-ME] Choosing appropriate priors for bglmer mixed models in blme   Ben Bolker
• [R-sig-ME] Choosing appropriate priors for bglmer mixed models in blme   Josie Galbraith
• [R-sig-ME] Choosing appropriate priors for bglmer mixed models in blme   Jarrod Hadfield
• [R-sig-ME] Choosing appropriate priors for bglmer mixed models in blme   Vincent Dorie
• [R-sig-ME] Choosing appropriate priors for bglmer mixed models in blme   Jarrod Hadfield
• [R-sig-ME] Choosing appropriate priors for bglmer mixed models in blme   Vincent Dorie
• [R-sig-ME] Choosing appropriate priors for bglmer mixed models in blme   Jarrod Hadfield
• [R-sig-ME] Choosing appropriate priors for bglmer mixed models in blme   Josie Galbraith
• [R-sig-ME] Choosing appropriate priors for bglmer mixed models in blme   Jarrod Hadfield
• [R-sig-ME] Choosing appropriate priors for bglmer mixed models in blme   Vincent Dorie
• [R-sig-ME] cloglog logistic regression interpretation   Javier Atalah
• [R-sig-ME] cloglog logistic regression interpretation   Ben Bolker
• [R-sig-ME] Comparing Odds ratios in two different binomial GLMM   Tibor Kiss
• [R-sig-ME] Comparison of crossed ranom effects: lmer vs. MCMCglmm   Linus Holtermann
• [R-sig-ME] Comparison of crossed ranom effects: lmer vs. MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Comparison of crossed ranom effects: lmer vs. MCMCglmm   Linus Holtermann
• [R-sig-ME] Comparison of crossed ranom effects: lmer vs. MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Contrast in lme4   Douglas Bates
• [R-sig-ME] Contrast in lme4   Ben Bolker
• [R-sig-ME] Contrast in lme4   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] convergence warnings with lme4 1.1.7   Sophia Kyriakou
• [R-sig-ME] Cook's distance: glmmADMB ZIP / influence.ME not compatible?   Ashley Asmus
• [R-sig-ME] Cook's distance: glmmADMB ZIP / influence.ME not compatible?   Ben Bolker
• [R-sig-ME] Cyclic Block Design   Brandstätter Christian
• [R-sig-ME] Cyclic Block Design   Ben Bolker
• [R-sig-ME] design matrices in MCMCglmm   Alexandre Martin
• [R-sig-ME] design matrices in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] design matrices in MCMCglmm   Alexandre Martin
• [R-sig-ME] df pseudoreplication in lme model   Lauren Meyer
• [R-sig-ME] df pseudoreplication in lme model   Ben Bolker
• [R-sig-ME] Differences in degrees of freedom between a mixed-effects model and a gls model using nlme   Hufthammer, Karl Ove
• [R-sig-ME] Differences in degrees of freedom between a mixed-effects model and a gls model using nlme   Ken Beath
• [R-sig-ME] Differences in degrees of freedom between a mixed-effects model and a gls model using nlme   Ben Bolker
• [R-sig-ME] Differences in degrees of freedom between a mixed-effects model and a gls model using nlme   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Differences in degrees of freedom between a mixed-effects model and a gls model using nlme   Ken Beath
• [R-sig-ME] Different results and warning messages from an identical glmer model at different times.   Hsu, B.
• [R-sig-ME] Dispersion parameter in glmmadmb and model selection   Zahwa Al Ayyash (Student)
• [R-sig-ME] Dispersion parameter in glmmadmb and model selection   Paul Johnson
• [R-sig-ME] Dispersion parameter in glmmadmb and model selection   Zahwa Al Ayyash (Student)
• [R-sig-ME] Error fitting reduced model in bglmer for LRT   Josie Galbraith
• [R-sig-ME] Error fitting reduced model in bglmer for LRT   Vincent Dorie
• [R-sig-ME] Error fitting reduced model in bglmer for LRT   Josie Galbraith
• [R-sig-ME] Error fitting reduced model in bglmer for LRT   Vincent Dorie
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Matthew Keller
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Ben Bolker
• [R-sig-ME] estimating variance components for arbitrarily definedvar/covar matrices   David Duffy
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Rolf Turner
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Ben Bolker
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Jarrod Hadfield
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Anthony R Ives
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Jarrod Hadfield
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Jarrod Hadfield
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Steve Walker
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Anthony Ives
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Rolf Turner
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Matthew Keller
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Ken Beath
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   steve.walker at utoronto.ca
• [R-sig-ME] estimating variance components for arbitrarily defined var/covar matrices   Jarrod Hadfield
• [R-sig-ME] Example of Fixed Random effects decomposition   Manuel Ramon
• [R-sig-ME] extracting p values for main effects of binomial glmm   Megan Kutzer
• [R-sig-ME] extracting p values for main effects of binomial glmm   Tim Meehan
• [R-sig-ME] extracting p values for main effects of binomial glmm   Jonathan Baron
• [R-sig-ME] extracting p values for main effects of binomial glmm   Doogan, Nathan
• [R-sig-ME] extracting p values for main effects of binomial glmm   Ken Beath
• [R-sig-ME] extracting p values for main effects of binomial glmm   Megan Kutzer
• [R-sig-ME] extracting p values for main effects of binomial glmm   Ben Bolker
• [R-sig-ME] extracting p values for main effects of binomial glmm   Ken Beath
• [R-sig-ME] extracting p values for main effects of binomial glmm   Megan Kutzer
• [R-sig-ME] extracting p values for main effects of binomial glmm   Baldwin, Jim -FS
• [R-sig-ME] extracting p values for main effects of binomial glmm   Ken Beath
• [R-sig-ME] extracting p values for main effects of binomial glmm   Henrik Singmann
• [R-sig-ME] extracting p values for main effects of binomial glmm   Steve Denham
• [R-sig-ME] extracting p values for main effects of binomial glmm   Jonathan Baron
• [R-sig-ME] extracting p values for main effects of binomial glmm   Thompson,Paul
• [R-sig-ME] extracting p values for main effects of binomial glmm   John Maindonald
• [R-sig-ME] extracting p values for main effects of binomial glmm   Ben Bolker
• [R-sig-ME] Fitting a heteroscedastic glmm for binomial responses   Daniel Rubi
• [R-sig-ME] Fw: (no subject)   mervat mohamed
• [R-sig-ME] Fw: (no subject)   Ben Bolker
• [R-sig-ME] Fwd: priors for multivariate mixed model in MCMCglmm with random intercepts and slopes   John Morrongiello
• [R-sig-ME] Fwd: priors for multivariate mixed model in MCMCglmm with random intercepts and slopes   Malcolm Fairbrother
• [R-sig-ME] Fwd: priors for multivariate mixed model in MCMCglmm with random intercepts and slopes   John Morrongiello
• [R-sig-ME] Genetic Algorithm in R   Narahara Chari D
• [R-sig-ME] Genetic Algorithm in R   Ben Bolker
• [R-sig-ME] glmer warning messages using version 1.1.7   Sophia Kyriakou
• [R-sig-ME] glmer warning messages using version 1.1.7   Ben Bolker
• [R-sig-ME] glmer warning messages using version 1.1.7   Sophia Kyriakou
• [R-sig-ME] glmer warning messages using version 1.1.7   Ben Bolker
• [R-sig-ME] glmmadmb function   Simona Picardi
• [R-sig-ME] glmmadmb function   Ben Bolker
• [R-sig-ME] GLS models question   Douglas Bates
• [R-sig-ME] Help with glmmADMB error messages   Aoibheann Gaughran
• [R-sig-ME] Help with glmmADMB error messages   Ben Bolker
• [R-sig-ME] how to extract the scale parameter for a Gamma distribution from a fitted glmer()   Tomas Easdale
• [R-sig-ME] how to extract the scale parameter for a Gamma distribution from a fitted glmer()   Ben Bolker
• [R-sig-ME] informative priors in MCMCglmm   Diana Caro
• [R-sig-ME] informative priors in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Interpreting 2-way aov interaction   Brandstätter Christian
• [R-sig-ME] Interpreting 2-way aov interaction   ONKELINX, Thierry
• [R-sig-ME] Interpreting 2-way aov interaction   Brandstätter Christian
• [R-sig-ME] intra and inter-observer correlations in a bivariate model   Van Dongen Stefan
• [R-sig-ME] Little variability in outcome; "pwrssUpdate did not converge"   Ruben Arslan
• [R-sig-ME] Little variability in outcome; "pwrssUpdate did not converge"   David Duffy
• [R-sig-ME] Little variability in outcome; "pwrssUpdate did not converge"   Ruben Arslan
• [R-sig-ME] lme4: Parameter contrasts?   Carpenter, Tom
• [R-sig-ME] lme4: Parameter contrasts?   Ben Bolker
• [R-sig-ME] lme4: Parameter contrasts?   Andrew Robinson
• [R-sig-ME] lme4: Parameter contrasts?   Hufthammer, Karl Ove
• [R-sig-ME] lme4: Parameter contrasts?   Steven J. Pierce
• [R-sig-ME] lme4: Parameter contrasts?   Carpenter, Tom
• [R-sig-ME] lme4: Parameter contrasts?   Ken Beath
• [R-sig-ME] lme4 at flexLambda Error   bbonit at tin.it
• [R-sig-ME] lme4 at flexLambda Error   Steve Walker
• [R-sig-ME] lme4 at flexLambda Error   bbonit at tin.it
• [R-sig-ME] lme4 at flexLambda Error   Steve Walker
• [R-sig-ME] lme4 at flexLambda Error   Ben Bolker
• [R-sig-ME] lme4 at flexLambda Error   Steve Walker
• [R-sig-ME] lme4 upgrade broke my old code?   Stuart Luppescu
• [R-sig-ME] lme4 upgrade broke my old code?   marKo
• [R-sig-ME] lme4 upgrade broke my old code?   Ben Bolker
• [R-sig-ME] lme4 upgrade broke my old code?   Stuart Luppescu
• [R-sig-ME] lme4 upgrade broke my old code?   Ben Bolker
• [R-sig-ME] lme4 upgrade broke my old code?   Ben Bolker
• [R-sig-ME] LME model comparison - likelihood ratio tests   Paraskevi Argyriou
• [R-sig-ME] lmer and standard error   Alexandre Lafontaine
• [R-sig-ME] lmer and standard error   Ben Bolker
• [R-sig-ME] lmer estimates for highly unbalanced anova   Asaf Weinstein
• [R-sig-ME] lmer fails when too many observations   Asaf Weinstein
• [R-sig-ME] lmer fails when too many observations   Thierry Onkelinx
• [R-sig-ME] lmer fails when too many observations   Douglas Bates
• [R-sig-ME] lmer fails when too many observations   Asaf Weinstein
• [R-sig-ME] lmer fails when too many observations   Ben Bolker
• [R-sig-ME] lmer fails when too many observations   Asaf Weinstein
• [R-sig-ME] lmer or glmer?   Michael Jackson
• [R-sig-ME] lmer or glmer?   ONKELINX, Thierry
• [R-sig-ME] lmer or glmer?   Michael Jackson
• [R-sig-ME] lmer or glmer?   Ken Beath
• [R-sig-ME] lmer or glmer?   ONKELINX, Thierry
• [R-sig-ME] lmer or glmer?   Michael Jackson
• [R-sig-ME] lmer with binomial distribution of random effects   El Kihal, Siham
• [R-sig-ME] lmer with binomial distribution of random effects   Ben Bolker
• [R-sig-ME] lmer with binomial distribution of random effects   Thierry Onkelinx
• [R-sig-ME] lmer with binomial distribution of random effects   Thierry Onkelinx
• [R-sig-ME] lmer with binomial distribution of random effects   Siham El Kihal
• [R-sig-ME] lmer with binomial distribution of random effects   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] LogLikelihood   bbonit at tin.it
• [R-sig-ME] LogLikelihood   Andrzej Galecki
• [R-sig-ME] LogLikelihood   Andrzej Galecki
• [R-sig-ME] Loglikelihood   bbonit at tin.it
• [R-sig-ME] Loglikelihood   bbonit at tin.it
• [R-sig-ME] LogLikelihood   Steve Walker
• [R-sig-ME] Loglikelihood   bbonit at tin.it
• [R-sig-ME] Loglikelihood   bbonit at tin.it
• [R-sig-ME] Macroecology of sexual selection   solimarygh at usp.br
• [R-sig-ME] Macroecology of sexual selection   Thierry Onkelinx
• [R-sig-ME] Meta-analysis for heritability using MCMCglmm?   Jackie Wood
• [R-sig-ME] Meta-analysis for heritability using MCMCglmm?   Jackie Wood
• [R-sig-ME] Meta-analysis for heritability using MCMCglmm?   Jarrod Hadfield
• [R-sig-ME] mixed-ish model   David Stevens
• [R-sig-ME] mixed-ish model   ONKELINX, Thierry
• [R-sig-ME] Modelling random effects for only part of the observations (in lme4)   Hufthammer, Karl Ove
• [R-sig-ME] Modelling random effects for only part of the observations (in lme4)   Mitchell Maltenfort
• [R-sig-ME] Modelling random effects for only part of the observations (in lme4)   Jarrod Hadfield
• [R-sig-ME] Modelling random effects for only part of the observations (in lme4)   Hufthammer, Karl Ove
• [R-sig-ME] Modelling random effects for only part of the observations (in lme4)   ONKELINX, Thierry
• [R-sig-ME] Modelling random effects for only part of the observations (in lme4)   Hufthammer, Karl Ove
• [R-sig-ME] Modelling random effects for only part of the observations (in lme4)   Ben Bolker
• [R-sig-ME] Multiple contrasts and what data to include when writing up a three-way interaction in lmer?   Tove Jansson
• [R-sig-ME] Multiple contrasts and what data to include when writing up a three-way interaction in lmer?   Tim Meehan
• [R-sig-ME] Multiple contrasts and what data to include when writing up a three-way interaction in lmer?   Tove Jansson
• [R-sig-ME] Nest survival: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate   Elwyn Sharps
• [R-sig-ME] Nest survival: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate   Ben Bolker
• [R-sig-ME] Nest survival: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate   Elwyn Sharps
• [R-sig-ME] Nest survival: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate   Elwyn Sharps
• [R-sig-ME] Nest survival: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate   Ben Bolker
• [R-sig-ME] Nest survival: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate   Mark Herzog
• [R-sig-ME] Nest survival: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate   Elwyn Sharps
• [R-sig-ME] Nest survival: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate   Ben Bolker
• [R-sig-ME] nlme prediction with predictor function   Cole, Tim
• [R-sig-ME] nlme prediction with predictor function   Cole, Tim
• [R-sig-ME] Ordinal data analysis with MCMCglmm   Luka Rubinjoni
• [R-sig-ME] Ordinal data analysis with MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Ordinal data analysis with MCMCglmm   Pierre de Villemereuil
• [R-sig-ME] Ordinal data analysis with MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Output glmer   Davide Bellone
• [R-sig-ME] Output glmer   Ben Bolker
• [R-sig-ME] Peijian Shi   shi_peijian
• [R-sig-ME] Peijian Shi   Ben Bolker
• [R-sig-ME] plotting gams in mgcv   john benson
• [R-sig-ME] plotting gams in mgcv   Ulf Köther
• [R-sig-ME] postdoctoral opportunity   Tarca, Adi
• [R-sig-ME] post for likelihood ration tests   Paraskevi Argyriou
• [R-sig-ME] Prediction and bootstrapping with glmer   Ruben Arslan
• [R-sig-ME] prediction from glmer(..., family = binomial(link = "probit"))   Paul Johnson
• [R-sig-ME] prediction from glmer(..., family = binomial(link = "probit"))   ONKELINX, Thierry
• [R-sig-ME] prediction interval for prediction from mixed effects model   Rasmussen, Paul W - DNR
• [R-sig-ME] predictions and standard errors on model-averaged mixed effects models   Samantha Franks
• [R-sig-ME] Predictions from zero-inflated or hurdle models   Ruben Arslan
• [R-sig-ME] Predictions from zero-inflated or hurdle models   Ben Bolker
• [R-sig-ME] Predictions from zero-inflated or hurdle models   Ruben Arslan
• [R-sig-ME] Predictions from zero-inflated or hurdle models   Ruben Arslan
• [R-sig-ME] Predictions from zero-inflated or hurdle models   Jarrod Hadfield
• [R-sig-ME] Predictions from zero-inflated or hurdle models   Ruben Arslan
• [R-sig-ME] Predictions from zero-inflated or hurdle models   Ruben Arslan
• [R-sig-ME] Predictions from zero-inflated or hurdle models   Jarrod Hadfield
• [R-sig-ME] Predictions from zero-inflated or hurdle models   Jarrod Hadfield
• [R-sig-ME] Predictions from zero-inflated or hurdle models   Ruben Arslan
• [R-sig-ME] Predictions from zero-inflated or hurdle models   Jarrod Hadfield
• [R-sig-ME] priors for multivariate mixed model in MCMCglmm with random intercepts and slopes   John Morrongiello
• [R-sig-ME] priors for univariate model with very low expected variance contributions (mcmcglmm)   Robert Griffin
• [R-sig-ME] priors for univariate model with very low expected variance contributions (mcmcglmm)   Jarrod Hadfield
• [R-sig-ME] Priors for us(trait):units structure in MCMCglmm model. Error message - help needed.   Tricia Markle
• [R-sig-ME] Priors for us(trait):units structure in MCMCglmm model. Error message - help needed.   Jarrod Hadfield
• [R-sig-ME] Problem- Warning message   Davide Bellone
• [R-sig-ME] Problem- Warning message   Ken Beath
• [R-sig-ME] Problem- Warning message   Ben Bolker
• [R-sig-ME] Problems with convergence   Ken Beath
• [R-sig-ME] Problems with convergence   Ben Bolker
• [R-sig-ME] Problems with convergence   Ken Beath
• [R-sig-ME] Problems with convergence   Ben Bolker
• [R-sig-ME] Problems with convergence   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Question regarding GLMMs and proportional data   Rachael Eaton
• [R-sig-ME] Question regarding GLMMs and proportional data   ONKELINX, Thierry
• [R-sig-ME] r-square type of measure for cox PH in MCMCglmm   Van Dongen Stefan
• [R-sig-ME] r-square type of measure for cox PH in MCMCglmm   Farrar, David
• [R-sig-ME] R: Re: lme4 at flexLambda Error   bbonit at tin.it
• [R-sig-ME] repeated measures on split plot design   Lea
• [R-sig-ME] repeated measures on split plot design   Thierry Onkelinx
• [R-sig-ME] repeated measures on split plot design   Magdalena Wiedermann
• [R-sig-ME] Robust Standard Errors   Zahwa Al Ayyash (Student)
• [R-sig-ME] Robust Standard Errors   Ben Bolker
• [R-sig-ME] Square root of a matrix   Asaf Weinstein
• [R-sig-ME] Square root of a matrix   Ben Bolker
• [R-sig-ME] Square root of a matrix   Asaf Weinstein
• [R-sig-ME] standard error and statistical significance in lmer versus lm   Peter Claussen
• [R-sig-ME] standard error and statistical significance in lmer versus lm   Vincenzo Lagani
• [R-sig-ME] standard error and statistical significance in lmer versus lm   Vincenzo Lagani
• [R-sig-ME] standard error and statistical significance in lmer versus lm   Peter Claussen
• [R-sig-ME] standard error and statistical significance in lmer versus lm   Vincenzo Lagani
• [R-sig-ME] Standard errors in glmmADMB   Zahwa Al Ayyash (Student)
• [R-sig-ME] Standard errors in glmmADMB   Ben Bolker
• [R-sig-ME] Statistics courses in Australia   Highland Statistics Ltd
• [R-sig-ME] Stats course: GAM and GAMM in Genoa, Italy   Highland Statistics Ltd
• [R-sig-ME] Tackling various errors in a mixed-effects Poisson model   Eric Lofgren
• [R-sig-ME] Tackling various errors in a mixed-effects Poisson model   Ken Beath
• [R-sig-ME] the equation of a mixed model fitted using nlme   jos matejus
• [R-sig-ME] the equation of a mixed model fitted using nlme   Thierry Onkelinx
• [R-sig-ME] the equation of a mixed model fitted using nlme   Thierry Onkelinx
• [R-sig-ME] time delayed response as a covariate in lme4   marKo
• [R-sig-ME] time delayed response as a covariate in lme4   Ben Bolker
• [R-sig-ME] time delayed response as a covariate in lme4   marKo
• [R-sig-ME] title of r plots   li li
• [R-sig-ME] title of r plots   Steven McKinney
• [R-sig-ME] transform glmer model into MCMCglmm: how to define the priors?   Anne Krause
• [R-sig-ME] transform glmer model into MCMCglmm: how to define the priors?   Jarrod Hadfield
• [R-sig-ME] transform glmer model into MCMCglmm: how to define the priors?   Anne Krause
• [R-sig-ME] transform glmer model into MCMCglmm: how to define the priors?   Jarrod Hadfield
• [R-sig-ME] transform glmer model into MCMCglmm: how to define the priors?   Anne Krause
• [R-sig-ME] trouble with Dev version   Alex Whitworth
• [R-sig-ME] trouble with Dev version   Ben Bolker
• [R-sig-ME] Two stats courses in Portugal   Highland Statistics Ltd
• [R-sig-ME] Variance components analysis using a GLMM, how to insert a variance-covariance matrix in the model ?   REZOUKI CELIA p1314815
• [R-sig-ME] Variance components analysis using a GLMM, how to insert a variance-covariance matrix in the model ?   ONKELINX, Thierry
• [R-sig-ME] Variance components analysis using a GLMM, how to insert a variance-covariance matrix in the model ?   Jesse Whittington
• [R-sig-ME] Variance components analysis using a GLMM, how to insert a variance-covariance matrix in the model ?   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] within subjects, 3 conditions, 3 lines   Stanislav Aggerwal
• [R-sig-ME] within subjects, 3 conditions, 3 lines   Stanislav Aggerwal
• [R-sig-ME] within subjects, 3 conditions, 3 lines   marKo
• [R-sig-ME] within subjects, 3 conditions, 3 lines   Stanislav Aggerwal
• [R-sig-ME] within subjects, 3 conditions, 3 lines   ONKELINX, Thierry
• [R-sig-ME] within subjects, 3 conditions, 3 lines   ONKELINX, Thierry
• [R-sig-ME] within subjects, 3 conditions, 3 lines   Stanislav Aggerwal
• [R-sig-ME] within subjects, 3 conditions, 3 lines   Stanislav Aggerwal
• [R-sig-ME] within subjects, 3 conditions, 3 lines   ONKELINX, Thierry
• [R-sig-ME] Zero-inflated mixed models   Zahwa Al Ayyash (Student)
• [R-sig-ME] Zero-inflated mixed models   Ben Bolker
• [R-sig-ME] Zero-inflated mixed models   Zahwa Al Ayyash (Student)

Last message date: Tue Mar 31 17:25:12 CEST 2015
Archived on: Tue Mar 31 17:26:21 CEST 2015

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