Second quarter 2010 Archives by date

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Starting: Thu Apr 1 00:04:11 CEST 2010
Ending: Wed Jun 30 13:12:59 CEST 2010
Messages: 426

• [R-sig-ME] missing data + explanatory variables   Emmanuel Charpentier
• [R-sig-ME] Increasing iteration limit / lmer bug   Adam D. I. Kramer
• [R-sig-ME] Increasing iteration limit / lmer bug   Adam D. I. Kramer
• [R-sig-ME] Increasing iteration limit / lmer bug   Luca Borger
• [R-sig-ME] Increasing iteration limit / lmer bug   Ben Bolker
• [R-sig-ME] Standard errors for random effects   Tahira Jamil
• [R-sig-ME] Standard errors for random effects   Luca Borger
• [R-sig-ME] Standard errors for random effects   Douglas Bates
• [R-sig-ME] Standard errors for random effects   Doran, Harold
• [R-sig-ME] About lmer function   Douglas Bates
• [R-sig-ME] About lmer function   Douglas Bates
• [R-sig-ME] Standard errors for random effects   Ben Bolker
• [R-sig-ME] About lmer() function in package lme4   Edgar.Torres at ifremer.fr
• [R-sig-ME] About lmer() function in package lme4   Martin Maechler
• [R-sig-ME] SE of predictions from lme   Eric Edeline
• [R-sig-ME] Res: SE of predictions from lme   walmes zeviani
• [R-sig-ME] Res: SE of predictions from lme   Ben Bolker
• [R-sig-ME] poisson GLMER with identity link   Tim Carnus
• [R-sig-ME] poisson GLMER with identity link   Ben Bolker
• [R-sig-ME] lme and prediction intervals   D Chaws
• [R-sig-ME] lme and prediction intervals   Douglas Bates
• [R-sig-ME] Likelihood Ratio   Iasonas Lamprianou
• [R-sig-ME] plotting random effects; lme4(a) inference methods   Robert Kushler
• [R-sig-ME] plotting random effects, continued   Robert Kushler
• [R-sig-ME] lme and prediction intervals   Ben Bolker
• [R-sig-ME] Interactions between fixed and random effects   Christopher Eckert
• [R-sig-ME] missing data + explanatory variables   christophe dutang
• [R-sig-ME] RE : Interactions between fixed and random effects   Julien Beguin
• [R-sig-ME] Interactions between fixed and random effects   Ben Bolker
• [R-sig-ME] Interactions between fixed and random effects   Jarrod Hadfield
• [R-sig-ME] Interactions between fixed and random effects   Ben Bolker
• [R-sig-ME] lme and prediction intervals   Douglas Bates
• [R-sig-ME] lme and prediction intervals   D Chaws
• [R-sig-ME] MLM of Longitudinal Data   AC Del Re
• [R-sig-ME] poisson GLMER with identity link   Tim Carnus
• [R-sig-ME] lme and prediction intervals   Jarrod Hadfield
• [R-sig-ME] lme: random effect nested within fixed effect   Itay Mayrose
• [R-sig-ME] lme: random effect nested within fixed effect   Andrew Dolman
• [R-sig-ME] lme: random effect nested within fixed effect   Andrew Dolman
• [R-sig-ME] lme: random effect nested within fixed effect   Ben Bolker
• [R-sig-ME] lme and prediction intervals   David Hsu
• [R-sig-ME] lme: random effect nested within fixed effect   Federico Calboli
• [R-sig-ME] lme: random effect nested within fixed effect   Daniel Ezra Johnson
• [R-sig-ME] lme: random effect nested within fixed effect   Andrew Dolman
• [R-sig-ME] lme: random effect nested within fixed effect   Dennis Murphy
• [R-sig-ME] lme: random effect nested within fixed effect   Andrew Dolman
• [R-sig-ME] lme: random effect nested within fixed effect   Kingsford Jones
• [R-sig-ME] lme and prediction intervals   D Chaws
• [R-sig-ME] lme and prediction intervals   John Maindonald
• [R-sig-ME] lme and prediction intervals   Douglas Bates
• [R-sig-ME] lme and prediction intervals   Douglas Bates
• [R-sig-ME] Multi-level models Odds ratio   E T
• [R-sig-ME] Multi-level models Odds ratio   Daniel Ezra Johnson
• [R-sig-ME] lme and prediction intervals   Emmanuel Charpentier
• [R-sig-ME] variance structure in lme/lmer   Alessia Guggisberg
• [R-sig-ME] variance structure in lme/lmer   Jarrod Hadfield
• [R-sig-ME] Multi-level models Odds ratio   E T
• [R-sig-ME] Multi-level models Odds ratio   ONKELINX, Thierry
• [R-sig-ME] Multi-level models Odds ratio   E T
• [R-sig-ME] Multi-level models Odds ratio   Andy Fugard (Work)
• [R-sig-ME] Multi-level models Odds ratio   E T
• [R-sig-ME] MCMCglmm   Iasonas Lamprianou
• [R-sig-ME] MCMCglmm   Jarrod Hadfield
• [R-sig-ME] variance structure in lme/lmer   Alessia Guggisberg
• [R-sig-ME] lme and prediction intervals   D Chaws
• [R-sig-ME] variance structure in lme/lmer   Jarrod Hadfield
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] MCMCglmm   Iasonas Lamprianou
• [R-sig-ME] Another case of -1.0 correlation of random effects   Ben Bolker
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Another case of -1.0 correlation of random effects   Ken Knoblauch
• [R-sig-ME] Another case of -1.0 correlation of random effects   Ben Bolker
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] Another case of -1.0 correlation of random effects   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Another case of -1.0 correlation of random effects   Jarrod Hadfield
• [R-sig-ME] Bayesian counterpart to NPMLREG   Shige Song
• [R-sig-ME] MCMCglmm   Iasonas Lamprianou
• [R-sig-ME] Bayesian counterpart to NPMLREG   Jarrod Hadfield
• [R-sig-ME] Another case of -1.0 correlation of random effects   Ken Knoblauch
• [R-sig-ME] Bayesian counterpart to NPMLREG   Shige Song
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] Fixed vs. random slopes   Isaac Petersen
• [R-sig-ME] variance structure in lme/lmer   Alessia Guggisberg
• [R-sig-ME] variance structure in lme/lmer   Jarrod Hadfield
• [R-sig-ME] variance structure in lme/lmer   Jarrod Hadfield
• [R-sig-ME] one question about Error in asMethod(object) : matrix is not symmetric [1, 2]   Wkoef Slknfd
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] Another case of -1.0 correlation of random effects   Douglas Bates
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] Another case of -1.0 correlation of random effects   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Another case of -1.0 correlation of random effects   Douglas Bates
• [R-sig-ME] [R] glmer with non integer weights   ONKELINX, Thierry
• [R-sig-ME] ordinal regression with MCMCglmm   Kari Ruohonen
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] Another case of -1.0 correlation of random effects   Ben Bolker
• [R-sig-ME] Another case of -1.0 correlation of random effects   Douglas Bates
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] Another case of -1.0 correlation of random effects   Ben Bolker
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] Another case of -1.0 correlation of random effects   Douglas Bates
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] ordinal regression with MCMCglmm   Jarrod Hadfield
• [R-sig-ME] lme: nested and not-nested random factors   maya mayrose
• [R-sig-ME] ordinal regression with MCMCglmm   Kari Ruohonen
• [R-sig-ME] ordinal regression with MCMCglmm   Jarrod Hadfield
• [R-sig-ME] ordinal regression with MCMCglmm   ONKELINX, Thierry
• [R-sig-ME] ordinal regression with MCMCglmm   Jarrod Hadfield
• [R-sig-ME] profile() for lmer   pierre nouvellet
• [R-sig-ME] Problem using mcmcsamp with a model fit with lmer   Charles E. (Ted) Wright
• [R-sig-ME] modeling spatial autocorrelation and heteroscedascity with gls / nlme   Guido Lorenz
• [R-sig-ME] ordinal regression with MCMCglmm   David Duffy
• [R-sig-ME] ordinal regression with MCMCglmm   Rune Haubo
• [R-sig-ME] profile() for lmer   Paul Taylor
• [R-sig-ME] profile() for lmer   pierre nouvellet
• [R-sig-ME] MCMCglmm: meta-analysis problem   Gustaf Granath
• [R-sig-ME] Workaround for my trouble installing lme4a   Kevin E. Thorpe
• [R-sig-ME] Workaround for my trouble installing lme4a   Douglas Bates
• [R-sig-ME] MCMCglmm: meta-analysis problem   Jarrod Hadfield
• [R-sig-ME] profile() for lmer   Douglas Bates
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] MCMCglmm: meta-analysis problem   Gustaf Granath
• [R-sig-ME] Another case of -1.0 correlation of random effects   Andrew Dolman
• [R-sig-ME] Negative R-squared in linear regression: What's the meaning   Djibril Dayamba
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] Another case of -1.0 correlation of random effects   Andrew Dolman
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] Another case of -1.0 correlation of random effects   Andrew Dolman
• [R-sig-ME] Another case of -1.0 correlation of random effects   Kevin E. Thorpe
• [R-sig-ME] cancel my email from your list!!!!!!!!   Wkoef Slknfd
• [R-sig-ME] confidence intervals of VPC   Julien Martin
• [R-sig-ME] Negative R-squared in linear regression: What's themeaning   Liaw, Andy
• [R-sig-ME] compareFits() for residuals   Christoph Scherber
• [R-sig-ME] negative log-likelihood ratio tests   Marie-Pierre Sylvestre
• [R-sig-ME] nested random effects in nlme   Michael Li
• [R-sig-ME] MCMCglmm for more than two levels   Shige Song
• [R-sig-ME] MCMCglmm for more than two levels   David Atkins
• [R-sig-ME] question re poisson "fixed effects"   David Hugh-Jones
• [R-sig-ME] repeated measures nested   anna freni sterrantino
• [R-sig-ME] MCMCglmm for more than two levels   Shige Song
• [R-sig-ME] Convergence error for longitudinal glmm with simulated data   Ben Rosenfield
• [R-sig-ME] repeated measures nested   Andrew Dolman
• [R-sig-ME] Random vs. fixed effects   Schultz, Mark R.
• [R-sig-ME] Random vs. fixed effects   Daniel Ezra Johnson
• [R-sig-ME] Random vs. fixed effects   Liaw, Andy
• [R-sig-ME] Random vs. fixed effects   Robert A LaBudde
• [R-sig-ME] Random vs. fixed effects   Gabor Grothendieck
• [R-sig-ME] Random vs. fixed effects   Ben Bolker
• [R-sig-ME] Random vs. fixed effects   Robert A LaBudde
• [R-sig-ME] patch for building lme4a on Mac OS X   Daniel Myall
• [R-sig-ME] Random vs. fixed effects   Emmanuel Charpentier
• [R-sig-ME] Random vs. fixed effects   William Morris
• [R-sig-ME] Random vs. fixed effects   Dennis Murphy
• [R-sig-ME] Random vs. fixed effects   Robert A LaBudde
• [R-sig-ME] Random vs. fixed effects   dave fournier
• [R-sig-ME] Random vs. fixed effects   Andrew Dolman
• [R-sig-ME] Random vs. fixed effects   dave fournier
• [R-sig-ME] How to code proportional data with gamm binomial model using gamm4 package?   Simon Wood
• [R-sig-ME] Random vs. fixed effects   Coe, Richard (ICRAF-ILRI)
• [R-sig-ME] How to code proportional data with gamm binomial model using gamm4 package?   Simon Wood
• [R-sig-ME] Random vs. fixed effects   Gabor Grothendieck
• [R-sig-ME] Random vs. fixed effects   Gabor Grothendieck
• [R-sig-ME] Random vs. fixed effects   Christos Argyropoulos
• [R-sig-ME] lme4 missing?   Colin Studds
• [R-sig-ME] lme4 missing?   Ben Bolker
• [R-sig-ME] GLMM -Error Message   Etn
• [R-sig-ME] Random vs. fixed effects   S Ellison
• [R-sig-ME] 'fixed' covariates in nlmer   Laurent Gentzbittel
• [R-sig-ME] Start values for glmer: Bug?   Adam D. I. Kramer
• [R-sig-ME] Start values for glmer: Bug?   Ben Bolker
• [R-sig-ME] Start values for glmer: Bug?   Adam D. I. Kramer
• [R-sig-ME] Start values for glmer: Bug?   Ben Bolker
• [R-sig-ME] Start values for glmer: Bug?   Adam D. I. Kramer
• [R-sig-ME] Start values for glmer: Bug?   Ben Bolker
• [R-sig-ME] Start values for glmer: Bug?   Adam D. I. Kramer
• [R-sig-ME] GLMM -Error Message   Etn
• [R-sig-ME] non-changing variables in a repeated measures analysis with lmer   Jesus Ayanz
• [R-sig-ME] Help with some nearly-binomial data   Hywel Lloyd
• [R-sig-ME] Model representation for mixed models   Paolo Innocenti
• [R-sig-ME] Help with some nearly-binomial data   Andrew Dolman
• [R-sig-ME] Help with some nearly-binomial data   Mike Lawrence
• [R-sig-ME] significance of random effects and prediction   Tahira Jamil
• [R-sig-ME] post hoc tests for aov with mulitple error terms?   Emma Stone
• [R-sig-ME] [R] Problem specifying Gamma distribution in lme4/glmer   Matthew Giovanni
• [R-sig-ME] Non-changing variables in a repeated measures analysis with lmer   Jesus Ayanz
• [R-sig-ME] Predictor variable with quantifiable measurement error   Mike Lawrence
• [R-sig-ME] Predictor variable with quantifiable measurement error   David Duffy
• [R-sig-ME] F test for two mixed-effects models   Christina Bogner
• [R-sig-ME] starting values in nlme   Prew, Paul
• [R-sig-ME] starting values in nlme   Jesus Frias
• [R-sig-ME] lmer() on linux   Douglas Bates
• [R-sig-ME] starting values in nlme   Prew, Paul
• [R-sig-ME] reshape   Alex Safari
• [R-sig-ME] starting values in nlme   Jesus Frias
• [R-sig-ME] Conducting an anova with multiple error terms   Emma Stone
• [R-sig-ME] Binominal GLMM in Lmer   Claire M. Sheridan
• [R-sig-ME] Binominal GLMM in Lmer   Ben Bolker
• [R-sig-ME] How to deal with time correlated fixed effects in lmer?   Javier Perez-Barberia
• [R-sig-ME] OR random effects - multilevel model   Etn
• [R-sig-ME] OR random effects - multilevel model   Chuck Cleland
• [R-sig-ME] Negative binomial mixed effects modeling   David Zajanc
• [R-sig-ME] Negative binomial mixed effects modeling   David Duffy
• [R-sig-ME] Negative binomial mixed effects modeling   Ben Bolker
• [R-sig-ME] Negative binomial mixed effects modeling   Simon Blomberg
• [R-sig-ME] Negative binomial mixed effects modeling   Ben Bolker
• [R-sig-ME] Negative binomial mixed effects modeling   David Duffy
• [R-sig-ME] post hocs for lmer / lme   Kay Cecil Cichini
• [R-sig-ME] post hocs for lmer / lme   Mike Lawrence
• [R-sig-ME] Centering dummies   Daniel
• [R-sig-ME] Negative binomial mixed effects modeling   David Atkins
• [R-sig-ME] Negative binomial mixed effects modeling   David Zajanc
• [R-sig-ME] Proportional odds model w/ random effects   Ken Knoblauch
• [R-sig-ME] how to extract the BIC value   Tahira Jamil
• [R-sig-ME] how to extract the BIC value   Andy Fugard (Work)
• [R-sig-ME] how to extract the BIC value   Douglas Bates
• [R-sig-ME] how to extract the BIC value   Gabor Grothendieck
• [R-sig-ME] strategy for interpreting significant interactions   J.A. Etzel
• [R-sig-ME] RE : strategy for interpreting significant interactions   Julien Beguin
• [R-sig-ME] strategy for interpreting significant interactions   J.A. Etzel
• [R-sig-ME] strategy for interpreting significant interactions   ONKELINX, Thierry
• [R-sig-ME] Error "mu[i] must be positive" with Gamma family   Stefan Frank
• [R-sig-ME] how to extract the BIC value   Martin Maechler
• [R-sig-ME] BIC() in "stats" {was how to extract the BIC value}   Martin Maechler
• [R-sig-ME] how to extract the BIC value   Gabor Grothendieck
• [R-sig-ME] post hocs for LMMs / GLMMs   Kay Cecil Cichini
• [R-sig-ME] post hocs for LMMs / GLMMs   Kay Cecil Cichini
• [R-sig-ME] post hocs for LMMs / GLMMs   Adam D. I. Kramer
• [R-sig-ME] post hocs for LMMs / GLMMs   Kay Cecil Cichini
• [R-sig-ME] Overdispersion parameter estimation in glmer   walmes zeviani
• [R-sig-ME] Variance of random effects in binomial lmer   Geir H Bolstad
• [R-sig-ME] multilevel conference 2011   Hox, J. (Joop)
• [R-sig-ME] sigmoid residual distribution for a random effect   Romain.Piault
• [R-sig-ME] Interpreting Mixed Effects Model on Fully Within-Subjects Design   Dave Deriso
• [R-sig-ME] Interpreting Mixed Effects Model on Fully Within-Subjects Design   Charles E. (Ted) Wright
• [R-sig-ME] Interpreting Mixed Effects Model on Fully Within-Subjects Design   Dave Deriso
• [R-sig-ME] Interpreting Mixed Effects Model on Fully Within-Subjects Design   Dave Deriso
• [R-sig-ME] Questions about using glmmPQL and glmer   Nai-Wei Chen
• [R-sig-ME] Questions about using glmmPQL and glmer   Ben Bolker
• [R-sig-ME] Failure to load lme4 on Mac   McMahon, Sean
• [R-sig-ME] Failure to load lme4 on Mac   Daniel Myall
• [R-sig-ME] Improving computation time for a binary outcome in lme4   Robin Jeffries
• [R-sig-ME] [R] sparse matrices in lme4   Douglas Bates
• [R-sig-ME] glmmPQL - producing an overall interaction term   Claire Brittain
• [R-sig-ME] Res: glmmPQL - producing an overall interaction term   walmes zeviani
• [R-sig-ME] Res: glmmPQL - producing an overall interaction term   walmes zeviani
• [R-sig-ME] Improving computation time for a binary outcome in lme4   Douglas Bates
• [R-sig-ME] Improving computation time for a binary outcome in lme4   Adam D. I. Kramer
• [R-sig-ME] Interesting software comparison paper   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Mixed-effects model with nested factors   Manuel Ramon
• [R-sig-ME] Attempts at diagnostics with logistic regression and two random effects   Mitchell Maltenfort
• [R-sig-ME] MCMCglmm - random effects specification   Robin Jeffries
• [R-sig-ME] Mixed-effects model with nested factors   ONKELINX, Thierry
• [R-sig-ME] weights-option in lmer   Ben Pelzer
• [R-sig-ME] How obtain the estimated scale parameter as in older lmer function version   walmes zeviani
• [R-sig-ME] How obtain the estimated scale parameter as in older lmer function version   Douglas Bates
• [R-sig-ME] sanity-checking plans for glmer   Mitchell Maltenfort
• [R-sig-ME] complex residual variance   Sven De Maeyer
• [R-sig-ME] Random effect with two contributions for each record   Albart Coster
• [R-sig-ME] complex residual variance   Douglas Bates
• [R-sig-ME] complex residual variance   ONKELINX, Thierry
• [R-sig-ME] [R] Post-hoc tests for repeated measures in balanced experimental design   Dennis Murphy
• [R-sig-ME] Random effect with two contributions for each record   David Duffy
• [R-sig-ME] sanity-checking plans for glmer   Ben Bolker
• [R-sig-ME] update-function: frame problem with lmer-fit   Ulrich Halekoh
• [R-sig-ME] Likelihood ratios   Mike Lawrence
• [R-sig-ME] Likelihood ratios   Mike Lawrence
• [R-sig-ME] RLRsim example   fengsj at mail.utexas.edu
• [R-sig-ME] Likelihood ratios   Mike Lawrence
• [R-sig-ME] Likelihood ratios   Mike Lawrence
• [R-sig-ME] RLRsim example   fengsj at mail.utexas.edu
• [R-sig-ME] Likelihood ratios   fengsj at mail.utexas.edu
• [R-sig-ME] Likelihood ratios   Ben Bolker
• [R-sig-ME] gamm   Maarten de Groot
• [R-sig-ME] update-function: frame problem with lmer-fit   Douglas Bates
• [R-sig-ME] Likelihood ratios   Mike Lawrence
• [R-sig-ME] (no subject)   Nicholas Lewin-Koh
• [R-sig-ME] GLMM linearity checking   fengsj at mail.utexas.edu
• [R-sig-ME] fit fixed-effect GLMs within each level of the random factors   Shujuan Feng
• [R-sig-ME] GLMM linearity checking   Ben Bolker
• [R-sig-ME] fit fixed-effect GLMs within each level of the random factors   Ben Bolker
• [R-sig-ME] GLMM linearity checking   Shujuan Feng
• [R-sig-ME] GLMM linearity checking   Ben Bolker
• [R-sig-ME] Cross-classified multiple membership models   Roberts, Kyle
• [R-sig-ME] GLMM linearity checking   Shujuan Feng
• [R-sig-ME] GLMM linearity checking   Shujuan Feng
• [R-sig-ME] fit fixed-effect GLMs within each level of the random factors   David Atkins
• [R-sig-ME] NAs from lmList(fit GLM) :fit fixed-effect GLMs within each level of the random factors   fengsj at mail.utexas.edu
• [R-sig-ME] lmer() with no intercept   array chip
• [R-sig-ME] NAs from lmList(fit GLM) :fit fixed-effect GLMs within each level of the random factors   fengsj at mail.utexas.edu
• [R-sig-ME] Representation of CHMfactor objects in Matrix package   Ryan King
• [R-sig-ME] Representation of CHMfactor objects in Matrix package   Douglas Bates
• [R-sig-ME] lmer() with no intercept (array chip)   Elizabeth Crone
• [R-sig-ME] A strange design; impossible to model using mixed models?   Mike Lawrence
• [R-sig-ME] Cross-classified multiple membership models   Douglas Bates
• [R-sig-ME] A strange design; impossible to model using mixed models?   Douglas Bates
• [R-sig-ME] "Animal Model" plus logistic regression   Bertrand Servin
• [R-sig-ME] Help with glmmPQL using Scottish Lip Cancer data   Corey Sparks
• [R-sig-ME] Random vs Fixed effect correlations   Mike Lawrence
• [R-sig-ME] Random vs Fixed effect correlations   Shujuan Feng
• [R-sig-ME] Random vs Fixed effect correlations   Mike Lawrence
• [R-sig-ME] corGaus specification   jjclark
• [R-sig-ME] Deviance tests and contrasts   Adam D. I. Kramer
• [R-sig-ME] Help with glmmPQL using Scottish Lip Cancer data   David Duffy
• [R-sig-ME] Deviance tests and contrasts   David Duffy
• [R-sig-ME] corGaus specification   ONKELINX, Thierry
• [R-sig-ME] How to get family/link information from a fitted glmer model?   Yvonnick NOEL
• [R-sig-ME] Predictive growth curve for a ZIP model in MCMCglmm   Christopher David Desjardins
• [R-sig-ME] "Animal Model" plus logistic regression   Juliet Hannah
• [R-sig-ME] "Animal Model" plus logistic regression   David Duffy
• [R-sig-ME] Random slope   fengsj at mail.utexas.edu
• [R-sig-ME] "Animal Model" plus logistic regression   Bertrand Servin
• [R-sig-ME] Deviance tests and contrasts   Kay Cecil Cichini
• [R-sig-ME] Random slope   Ben Bolker
• [R-sig-ME] Why post-hoc Tukey more significant than lme P-values?   Chris Kleier
• [R-sig-ME] Random slope   Daniel Ezra Johnson
• [R-sig-ME] problem using lmer with family = Gamma   Rafael Mares
• [R-sig-ME] How to code mixed model with nested factors in lmer   ZHAO, HUIYAN [AG/1005]
• [R-sig-ME] Skewed residuals from random effects   Eric Edeline
• [R-sig-ME] How to code mixed model with nested factors in lmer   Federico Calboli
• [R-sig-ME] problem using lmer with family = Gamma   David Duffy
• [R-sig-ME] Nutrition questionnaire data   Doug Adams
• [R-sig-ME] lmer, p-values and all that   Adam D. I. Kramer
• [R-sig-ME] Deviance tests and contrasts   Adam D. I. Kramer
• [R-sig-ME] lmer, p-values and all that   Andy Fugard
• [R-sig-ME] lmer, p-values and all that   Adam D. I. Kramer
• [R-sig-ME] Deviance tests and contrasts   David Duffy
• [R-sig-ME] Deviance tests and contrasts   Adam D. I. Kramer
• [R-sig-ME] problem using lmer with family = Gamma   Rafael Mares
• [R-sig-ME] Why post-hoc Tukey more significant than lme P-values?   Chris Kleier
• [R-sig-ME] Nutrition questionnaire data   Doug Adams
• [R-sig-ME] likelihood ratio tests vs. bootstrapping in quasi-poisson models   Marty Kardos
• [R-sig-ME] Deviance tests and contrasts   David Duffy
• [R-sig-ME] likelihood ratio tests vs. bootstrapping inquasi-poisson models   ONKELINX, Thierry
• [R-sig-ME] Nutrition questionnaire data   Doug Adams
• [R-sig-ME] MCMCglmm troubles   Mike Lawrence
• [R-sig-ME] lme posthoc constrasts for interaction effects group*time   Chris Kleier
• [R-sig-ME] lmer   Douglas Bates
• [R-sig-ME] lme posthoc constrasts for interaction effects group*time   Nicholas Lewin-Koh
• [R-sig-ME] Model Setup Help   Derek Ogle
• [R-sig-ME] Nutrition questionnaire data   Doug Adams
• [R-sig-ME] Model Setup Help   Derek Ogle
• [R-sig-ME] Zero-inflated negative binomial mixed model?   Roberto Patuelli
• [R-sig-ME] Zero-inflated negative binomial mixed model?   David Atkins
• [R-sig-ME] Computational speed - MCMCglmm/lmer   David Atkins
• [R-sig-ME] Computational speed - MCMCglmm/lmer   Douglas Bates
• [R-sig-ME] Computational speed - MCMCglmm/lmer   David Atkins
• [R-sig-ME] Making glmmBUGS work with JAGS   Shige Song
• [R-sig-ME] longitudinal model with blocks   Ricardo Alvarado
• [R-sig-ME] lme4 feature request: standardizing data and false convergence   Jeffrey Evans
• [R-sig-ME] correlated random effects in lmer and false convergence   Ailene Kane
• [R-sig-ME] lme4 feature request: standardizing data and false convergence   Adam D. I. Kramer
• [R-sig-ME] correlated random effects in lmer and false convergence   Douglas Bates
• [R-sig-ME] Mac OS X binary for lme4   Daniel Ezra Johnson
• [R-sig-ME] Mac OS X binary for lme4   Douglas Bates
• [R-sig-ME] correlated random effects in lmer and false convergence   Douglas Bates
• [R-sig-ME] hi   Lao Meng
• [R-sig-ME] Standard errors or t values from glmm.admb   Roberto Patuelli
• [R-sig-ME] lme posthoc constrasts for interaction effects group*time   Chris Kleier
• [R-sig-ME] In mer_finalize(ans) : gr cannot be computed at initial par (65)   Chris Mcowen
• [R-sig-ME] lme posthoc constrasts for interaction effects group*time   Nicholas Lewin-Koh
• [R-sig-ME] In mer_finalize(ans) : gr cannot be computed at initial par (65)   Douglas Bates
• [R-sig-ME] In mer_finalize(ans) : gr cannot be computed at initial par (65)   Chris Mcowen
• [R-sig-ME] In mer_finalize(ans) : gr cannot be computed at initial par (65)   Douglas Bates
• [R-sig-ME] lme posthoc constrasts for interaction effects group*time   Chris Kleier
• [R-sig-ME] lme posthoc constrasts for interaction effects group*time   Nicholas Lewin-Koh
• [R-sig-ME] Computational speed - MCMCglmm/lmer   Paul Johnson
• [R-sig-ME] Contrast interaction effects in lmer object for reciprocal transplant experiment   Steven Brady
• [R-sig-ME] Contrast interaction effects in lmer object for reciprocal transplant experiment   Reinhold Kliegl
• [R-sig-ME] inconsistent gamm likelihoods   Alan Swanson
• [R-sig-ME] Standard errors or t values from glmm.admb   dave fournier
• [R-sig-ME] Standard errors or t values from glmm.admb   Roberto Patuelli
• [R-sig-ME] random regression with MCMCglmm   Celine Teplitsky
• [R-sig-ME] Computational speed - MCMCglmm/lmer   Douglas Bates
• [R-sig-ME] Computational speed - MCMCglmm/lmer   Hadley Wickham
• [R-sig-ME] Data Redux -- Re: Computational speed - MCMCglmm/lmer   David Atkins
• [R-sig-ME] Data Redux -- Re: Computational speed - MCMCglmm/lmer   Douglas Bates
• [R-sig-ME] lme4a, glmer and all that   Jeffrey Evans
• [R-sig-ME] random regression with MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Computational speed - MCMCglmm/lmer   Jarrod Hadfield
• [R-sig-ME] MCMCglmm troubles   Jarrod Hadfield
• [R-sig-ME] random regression with MCMCglmm   Celine Teplitsky
• [R-sig-ME] MCMCglmm troubles   Mike Lawrence
• [R-sig-ME] lme4a, glmer and all that   Mitchell Maltenfort
• [R-sig-ME] lme4a, glmer and all that   Douglas Bates
• [R-sig-ME] lme4a, glmer and all that   Jeffrey Evans
• [R-sig-ME] lme4, lme4a, and overdispersed distributions (again)   Jeffrey Evans
• [R-sig-ME] lme4, lme4a, and overdispersed distributions (again)   Douglas Bates
• [R-sig-ME] lme4, lme4a, and overdispersed distributions (again)   Jeffrey Evans
• [R-sig-ME] lme4, lme4a, and overdispersed distributions (again)   Douglas Bates
• [R-sig-ME] lme4, lme4a, and overdispersed distributions (again)   David Duffy
• [R-sig-ME] Fwd: lme4, lme4a, and overdispersed distributions (again)   John Maindonald
• [R-sig-ME] Data Redux -- Re: Computational speed - MCMCglmm/lmer   David Atkins
• [R-sig-ME] Summary -- Re: Computational speed - MCMCglmm/lmer   David Atkins
• [R-sig-ME] Fwd: lme4, lme4a, and overdispersed distributions (again)   David Atkins
• [R-sig-ME] Status of the development package lme4a   Douglas Bates
• [R-sig-ME] Status of the development package lme4a   Adam D. I. Kramer
• [R-sig-ME] overdispersion and the one random effect per observation approach   Luca Borger
• [R-sig-ME] Doubt in print mle results   Daniel
• [R-sig-ME] Is anyone using the lmList() function in the lme4 package?   Douglas Bates
• [R-sig-ME] Is anyone using the lmList() function in the lme4 package?   Reinhold Kliegl
• [R-sig-ME] overdispersion and the one random effect per observation approach   Ben Bolker
• [R-sig-ME] Is anyone using the lmList() function in the lme4 package?   Jonathan Baron
• [R-sig-ME] Is anyone using the lmList() function in the lme4 package?   lancelot
• [R-sig-ME] Is anyone using the lmList() function in the lme4 package?   Kevin E. Thorpe
• [R-sig-ME] Is anyone using the lmList() function in the lme4 package?   Ken Knoblauch
• [R-sig-ME] Is anyone using the lmList() function in the lme4 package?   José Manuel Blanco Moreno
• [R-sig-ME] Evaluate fixed effects with aovlmer.fnc   Steven Brady
• [R-sig-ME] Is anyone using the lmList() function in the lme4 package?   Hadley Wickham
• [R-sig-ME] Is anyone using the lmList() function in the lme4 package?   Gabor Grothendieck
• [R-sig-ME] overdispersion and the one random effect per observation approach   David Atkins
• [R-sig-ME] Is anyone using the lmList() function in the lme4 package?   Ian Dworkin
• [R-sig-ME] Is anyone using the lmList() function in the lme4 package?   Douglas Bates
• [R-sig-ME] Status of the development package lme4a   Douglas Bates
• [R-sig-ME] Fwd: lme4, lme4a, and overdispersed distributions (again)   Jeffrey Evans
• [R-sig-ME] Fwd: lme4, lme4a, and overdispersed distributions (again)   robert.espesser at lpl-aix.fr
• [R-sig-ME] Fwd: lme4, lme4a, and overdispersed distributions (again)   David Atkins
• [R-sig-ME] Fwd: lme4, lme4a, and overdispersed distributions (again)   John Maindonald
• [R-sig-ME] nplmreg and overdispersed distributions   David Duffy
• [R-sig-ME] Multi level response variables   Chris Mcowen
• [R-sig-ME] Fwd: lme4, lme4a, and overdispersed distributions (again)   Jeffrey Evans
• [R-sig-ME] Multi level response variables   Mike Lawrence
• [R-sig-ME] Fwd: lme4, lme4a, and overdispersed distributions (again)   Douglas Bates
• [R-sig-ME] How to get estimates of time (Age) as well as Lots in a mixed model   Robert A. LaBudde
• [R-sig-ME] How to get estimates of time (Age) as well as Lots in a mixed model   Jesus Frias
• [R-sig-ME] mcmcsamp, HatTrace and lmer   Byju Govindan
• [R-sig-ME] MCMCglmm help- information about 'units' term   Karen Lamb

Last message date: Wed Jun 30 13:12:59 CEST 2010
Archived on: Tue Apr 10 08:50:01 CEST 2012

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