Third quarter 2015 Archives by date

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Starting: Wed Jul 1 11:27:01 CEST 2015
Ending: Wed Sep 30 16:18:19 CEST 2015
Messages: 261

• [R-sig-ME] getting matrix-covariance matrices from a multivariate lme   David Villegas Ríos
• [R-sig-ME] Missing values in lmer vs. HLM   Carpenter, Tom
• [R-sig-ME] counseling for multilevel models   Catarina Silva Castro
• [R-sig-ME] interpretation of lme after convergence warning   David Villegas Ríos
• [R-sig-ME] Missing values in lmer vs. HLM   Douglas Bates
• [R-sig-ME] Missing values in lmer vs. HLM   Douglas Bates
• [R-sig-ME] Missing values in lmer vs. HLM   Carpenter, Tom
• [R-sig-ME] Specification of binomial mixed model with custom intercept   Tom Wenseleers
• [R-sig-ME] Missing values in lmer vs. HLM   Karl Ove Hufthammer
• [R-sig-ME] Missing values in lmer vs. HLM   Phillip Alday
• [R-sig-ME] Missing values in lmer vs. HLM   landon hurley
• [R-sig-ME] counseling for multilevel models   Ben Bolker
• [R-sig-ME] Missing values in lmer vs. HLM   Douglas Bates
• [R-sig-ME] Missing values in lmer vs. HLM   John Maindonald
• [R-sig-ME] Missing values in lmer vs. HLM   Ken Beath
• [R-sig-ME] MCMCglmm predictions with new data for multi-response model   rafter sass ferguson
• [R-sig-ME] MCMCglmm predictions with new data for multi-response model   Malcolm Fairbrother
• [R-sig-ME] lme and lmer degrees of freedom (and hence p values) from don't agree . . . Why?????????   John Sorkin
• [R-sig-ME] lme and lmer degrees of freedom (and hence p values) from don't agree . . . Why?????????   Jake Westfall
• [R-sig-ME] lme and lmer degrees of freedom (and hence p values) from don't agree . . . Why?????????   Ben Bolker
• [R-sig-ME] glmer   Alexander Burren
• [R-sig-ME] getting matrix-covariance matrices from a multivariate lme   Thierry Onkelinx
• [R-sig-ME] nlmer function   elham haem
• [R-sig-ME] MCMCglmm predictions with new data for multi-response model   rafter sass ferguson
• [R-sig-ME] portrait diagram   Said Filahi
• [R-sig-ME] lme and lmer degrees of freedom (and hence p values) from don't agree . . . Why?????????   John Sorkin
• [R-sig-ME] lme and lmer degrees of freedom (and hence p values) from don't agree . . . Why?????????   Lize van der Merwe
• [R-sig-ME] TEST: Please ignore this message, I am trying to determine why messages I send to the list are not forwarded to me Thank you, John   John Sorkin
• [R-sig-ME] nlmer function   Federico Calboli
• [R-sig-ME] nlmer function   Federico Calboli
• [R-sig-ME] [FORGED] portrait diagram   Rolf Turner
• [R-sig-ME] [FORGED] portrait diagram   Ben Bolker
• [R-sig-ME] Comparing optimizers for lmer   Douglas Bates
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   svm
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   Jake Westfall
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   svm
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   Reinhold Kliegl
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   Reinhold Kliegl
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   Reinhold Kliegl
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   svm
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   Paul Buerkner
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   svm
• [R-sig-ME] TEST2: Please ignore this message, I am trying to determine why messages I send to the list are not forwarded to me Thank you, John   John Sorkin
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   Ben Bolker
• [R-sig-ME] variance explained by fixed effects in MCMCglmm   rafter sass ferguson
• [R-sig-ME] Method to transform fixed effect parameter estimates back on to the response scale [after glmer() with family=Gamma(link = "log")] ??   Daniel Newman
• [R-sig-ME] variance explained by fixed effects in MCMCglmm   Krause, R.W. (Robert)
• [R-sig-ME] Method to transform fixed effect parameter estimates back on to the response scale [after glmer() with family=Gamma(link = "log")] ??   Steve Denham
• [R-sig-ME] TEST3: Please ignore this message, I am trying to determine why messages I send to the list are not forwarded to me Thank you, John   John Sorkin
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   Paul Buerkner
• [R-sig-ME] Scaling the response of a linear model to different factor groups   Daniel Rubi
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   svm
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   Paul Buerkner
• [R-sig-ME] Perfectly correlated random effects (when they shouldn't be)   Thierry Onkelinx
• [R-sig-ME] Scaling the response of a linear model to different factor groups   Thierry Onkelinx
• [R-sig-ME] Fwd: Model failed to converge in bootMer   Francisco Fabuel
• [R-sig-ME] zero values generalized mixed model   Thomas Parmentier
• [R-sig-ME] Article on using observation-level random effects vs beta-binomial models for overdispersed binomial data   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] zero values generalized mixed model   Ben Bolker
• [R-sig-ME] Scaling the response of a linear model to different factor groups   Daniel Rubi
• [R-sig-ME] Bayesian, MCMCglmm and multiple testing   Fiona Ingleby
• [R-sig-ME] Stats courses in Queensland, Australia   Highland Statistics Ltd
• [R-sig-ME] Bayesian, MCMCglmm and multiple testing   Pierre de Villemereuil
• [R-sig-ME] Fwd: Model failed to converge in bootMer   Ben Bolker
• [R-sig-ME] Log-normal MCMCglmm   Daniel Sol
• [R-sig-ME] Log-normal MCMCglmm   Jörg Albrecht
• [R-sig-ME] Log-normal MCMCglmm   Daniel Sol
• [R-sig-ME] Log-normal MCMCglmm   Paul Johnson
• [R-sig-ME] Log-normal MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Log-normal MCMCglmm   Daniel Sol
• [R-sig-ME] Log-normal MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Calculation of random effects for factors in R   Sudell, Maria [mesudell]
• [R-sig-ME] Log-normal MCMCglmm   Paul Johnson
• [R-sig-ME] MCMCglmm : Bivariate model and prior   Grégory DANIEL
• [R-sig-ME] MCMCglmm : Bivariate model and prior   Jarrod Hadfield
• [R-sig-ME] glmer formula with partially-crossed fixed effects   Becky Gilbert
• [R-sig-ME] glmer formula with partially-crossed fixed effects   Dan McCloy
• [R-sig-ME] Model with variable number of arguments   Daniel Kaschek
• [R-sig-ME] Interpretation of GLMM output in R   Yvonne Hiller
• [R-sig-ME] Interpretation of GLMM output in R   Paul Johnson
• [R-sig-ME] Calculation of random effects for factors in R   Paul Johnson
• [R-sig-ME] Model with variable number of arguments   Paul Johnson
• [R-sig-ME] Calculation of random effects for factors in R   Douglas Bates
• [R-sig-ME] Interpretation of GLMM output in R   Thierry Onkelinx
• [R-sig-ME] Interpretation of GLMM output in R   Yvonne Hiller
• [R-sig-ME] Interpretation of GLMM output in R   Lionel
• [R-sig-ME] Interpretation of GLMM output in R   Yvonne Hiller
• [R-sig-ME] Binomial glmmadmb error message   Scott McCain
• [R-sig-ME] Model with variable number of arguments   Daniel Kaschek
• [R-sig-ME] Course: Introduction to zero inflated models   Highland Statistics Ltd
• [R-sig-ME] comparison of GLMM pQL models?   Cassandra Nunez
• [R-sig-ME] comparison of GLMM pQL models?   Christopher David Desjardins
• [R-sig-ME] interaction terms interpretation   Joaquín Aldabe
• [R-sig-ME] Fwd: Model failed to converge in bootMer   Francisco Fabuel
• [R-sig-ME] Mixed model for count data with overdispersion   Mehdi Abedi
• [R-sig-ME] interaction terms interpretation   Thierry Onkelinx
• [R-sig-ME] Mixed model for count data with overdispersion   Manabu Sakamoto
• [R-sig-ME] Mixed model for count data with overdispersion   Mehdi Abedi
• [R-sig-ME] Mixed model for count data with overdispersion   Christopher David Desjardins
• [R-sig-ME] Mixed model for count data with overdispersion   Mehdi Abedi
• [R-sig-ME] interaction terms interpretation   Ken Beath
• [R-sig-ME] Mixed model for count data with overdispersion   Steve Walker
• [R-sig-ME] Mixed model for count data with overdispersion   Paul Johnson
• [R-sig-ME] Mixed model for count data with overdispersion   Mehdi Abedi
• [R-sig-ME] interaction terms interpretation   Joaquín Aldabe
• [R-sig-ME] interaction terms interpretation   Ben Bolker
• [R-sig-ME] interaction terms interpretation   Joaquín Aldabe
• [R-sig-ME] covariance problems in MCMCglmm. genetic effects and multiple membership   Alexandre Martin
• [R-sig-ME] covariance problems in MCMCglmm. genetic effects and multiple membership   Szymek Drobniak
• [R-sig-ME] interaction terms interpretation   Joaquín Aldabe
• [R-sig-ME] A question about LME4   Subhash.Chandra at ecodev.vic.gov.au
• [R-sig-ME] A question about LME4   Douglas Bates
• [R-sig-ME] A question about LME4   Lionel
• [R-sig-ME] A question about LME4   Steve Walker
• [R-sig-ME] A question about LME4   Subhash.Chandra at ecodev.vic.gov.au
• [R-sig-ME] Making sure something is kosher   Mitchell Maltenfort
• [R-sig-ME] Making sure something is kosher   John Sorkin
• [R-sig-ME] Making sure something is kosher   Paul Johnson
• [R-sig-ME] Binomial glmmadmb error message   Paul Johnson
• [R-sig-ME] Method to transform fixed effect parameter estimates back on to the response scale [after glmer() with family=Gamma(link = "log")] ??   Paul Johnson
• [R-sig-ME] MCMC model selection reference   emeline mourocq
• [R-sig-ME] A question about LME4   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Making sure something is kosher   Mitchell Maltenfort
• [R-sig-ME] variance explained by fixed effects in MCMCglmm   rafter sass ferguson
• [R-sig-ME] covariance problems in MCMCglmm. genetic effects and multiple membership   Alexandre Martin
• [R-sig-ME] Residual variance for mixed effects survival analysis   Bradley Carlson
• [R-sig-ME] Residual variance for mixed effects survival analysis   Ken Beath
• [R-sig-ME] design weights   Andrea Cantieni
• [R-sig-ME] Phylogenetic component using lme4ord   Gustaf Granath
• [R-sig-ME] design weights   Mohd Masood
• [R-sig-ME] starting values in glmmadmb and / or covariance specification in glmer   paul debes
• [R-sig-ME] design weights   Andrea Cantieni
• [R-sig-ME] Residual variance for mixed effects survival analysis   Bradley Carlson
• [R-sig-ME] Residual variance for mixed effects survival analysis   Farrar, David
• [R-sig-ME] New afex version (0.14-2): || notation works with factors   Henrik Singmann
• [R-sig-ME] glm question   Joaquín Aldabe
• [R-sig-ME] glm question   Thierry Onkelinx
• [R-sig-ME] glm question   Joaquín Aldabe
• [R-sig-ME] glm question   Ken Beath
• [R-sig-ME] Parallel version of lmer or glmer?   María del Carmen Romero
• [R-sig-ME] Parallel version of lmer or glmer?   Pantelis Z. Hadjipantelis
• [R-sig-ME] repeated measures using lmer   aruna sudarshan
• [R-sig-ME] repeated measures using lmer   aruna sudarshan
• [R-sig-ME] Interpreting lmer() interactions with Helmert contrasts   Becky Gilbert
• [R-sig-ME] Interpreting lmer() interactions with Helmert contrasts   Becky Gilbert
• [R-sig-ME] Interpreting lmer() interactions with Helmert contrasts   Becky Gilbert
• [R-sig-ME] mixed effects - unequal time interval   Akwasi Duah-Gyamfi
• [R-sig-ME] Mixed cumulative link modelling - error message   Georgina Southon
• [R-sig-ME] Interpreting lmer() interactions with Helmert contrasts   Dan McCloy
• [R-sig-ME] Mixed cumulative link modelling - error message   Petri Lankoski
• [R-sig-ME] Mixed cumulative link modelling - error message   Dan McCloy
• [R-sig-ME] Parallel version of lmer or glmer?   Douglas Bates
• [R-sig-ME] Interpreting lmer() interactions with Helmert contrasts   Ken Beath
• [R-sig-ME] Interpreting lmer() interactions with Helmert contrasts   Steven McKinney
• [R-sig-ME] Mixed cumulative link modelling - error message   Georgina Southon
• [R-sig-ME] Interpreting lmer() interactions with Helmert contrasts   Becky Gilbert
• [R-sig-ME] Interpreting lmer() interactions with Helmert contrasts   Steven McKinney
• [R-sig-ME] profile and/or bootstrapped CIs for GAMM random effects   John Morrongiello
• [R-sig-ME] Interpreting lmer() interactions with Helmert contrasts   Becky Gilbert
• [R-sig-ME] Inflated heritability estimate for animal model with binary response using MCMCglmm   Kanix Wang
• [R-sig-ME] Inflated heritability estimate for animal model with binary response using MCMCglmm   Jarrod Hadfield
• [R-sig-ME] GLMMpql and GEE question   Hannah L. Linder
• [R-sig-ME] acf() and lme   David Villegas Ríos
• [R-sig-ME] acf() and lme   Thierry Onkelinx
• [R-sig-ME] acf() and lme   David Villegas Ríos
• [R-sig-ME] Using lmer to determine inter-rater reliability   Kevin E. Thorpe
• [R-sig-ME] GLMMpql and GEE question   Thierry Onkelinx
• [R-sig-ME] glmm question   Joaquín Aldabe
• [R-sig-ME] profile and/or bootstrapped CIs for GAMM random effects   John Morrongiello
• [R-sig-ME] random slopes in gamm4   John Morrongiello
• [R-sig-ME] profile and/or bootstrapped CIs for GAMM random effects   Ben Bolker
• [R-sig-ME] profile and/or bootstrapped CIs for GAMM random effects   Ben Bolker
• [R-sig-ME] profile and/or bootstrapped CIs for GAMM random effects   Ben Bolker
• [R-sig-ME] profile and/or bootstrapped CIs for GAMM random effects   John Morrongiello
• [R-sig-ME] glmm question   Joaquín Aldabe
• [R-sig-ME] glmm question   Ben Bolker
• [R-sig-ME] glmm question   Lionel
• [R-sig-ME] profile and/or bootstrapped CIs for GAMM random effects   Ben Bolker
• [R-sig-ME] problems with glmmadmb   Daniel Harrison
• [R-sig-ME] problems with glmmadmb   Ben Bolker
• [R-sig-ME] non-linear slope in random regression model   David Villegas Ríos
• [R-sig-ME] non-linear slope in random regression model   Wilson, Alastair
• [R-sig-ME] non-linear slope in random regression model   Thierry Onkelinx
• [R-sig-ME] non-linear slope in random regression model   David Villegas Ríos
• [R-sig-ME] non-linear slope in random regression model   Wilson, Alastair
• [R-sig-ME] Testing a trend across possibly non-independent estimates   Steven Orzack
• [R-sig-ME] possible collinearity between random and fixed effects in a linear mixed model   Antonello Canu
• [R-sig-ME] R-sig-mixed-models Digest, Vol 105, Issue 8   John Morrongiello
• [R-sig-ME] Intervention analysis with mixed models?   Edgar Torres
• [R-sig-ME] possible collinearity between random and fixed effects in a linear mixed model   Thierry Onkelinx
• [R-sig-ME] Testing a trend across possibly non-independent estimates   Thierry Onkelinx
• [R-sig-ME] residuals in logistic regression model   Martin Hecht
• [R-sig-ME] how to compare between models with replacements of a given predictor   Juan Kamienkowski
• [R-sig-ME] Logit mixed model power analysis   Evelien Heyselaar
• [R-sig-ME] Logit mixed model power analysis   paul debes
• [R-sig-ME] R-sig-mixed-models Digest, Vol 105, Issue 12   Jason Schoeneberger
• [R-sig-ME] Mixed model nesting query   Etn bot
• [R-sig-ME] Using lmer to determine inter-rater reliability   Kevin E. Thorpe
• [R-sig-ME] partly nested repeated measurements   Quentin Schorpp
• [R-sig-ME] testing random slopes in three-level models & error message   Charlotte Arndt
• [R-sig-ME] residuals in logistic regression model   Thierry Onkelinx
• [R-sig-ME] Logit mixed model power analysis   Thierry Onkelinx
• [R-sig-ME] testing random slopes in three-level models & error message   Thierry Onkelinx
• [R-sig-ME] Logit mixed model power analysis   Paul Johnson
• [R-sig-ME] Logit mixed model power analysis   David Duffy
• [R-sig-ME] Logit mixed model power analysis   Andrew Robinson
• [R-sig-ME] Question about autocorrelation in nlme   Paul Buerkner
• [R-sig-ME] Question about autocorrelation in nlme   Thierry Onkelinx
• [R-sig-ME] Question about autocorrelation in nlme   Thierry Onkelinx
• [R-sig-ME] Question about autocorrelation in nlme   Kevin Wright
• [R-sig-ME] Mixed model nesting query   Etn bot
• [R-sig-ME] Question about autocorrelation in nlme   Dan Wright
• [R-sig-ME] Factor response and explanatory variables   Iker Vaquero Alba
• [R-sig-ME] Question about autocorrelation in nlme   Paul Buerkner
• [R-sig-ME] Unidentifiable model in lmer   Takahiro Fushimi
• [R-sig-ME] Unidentifiable model in lmer   Jake Westfall
• [R-sig-ME] Unidentifiable model in lmer   Ché Lucero
• [R-sig-ME] Unidentifiable model in lmer   Phillip Alday
• [R-sig-ME] Factor response and explanatory variables   David Duffy
• [R-sig-ME] Unidentifiable model in lmer   Thierry Onkelinx
• [R-sig-ME] Factor response and explanatory variables   Iker Vaquero Alba
• [R-sig-ME] Model comparison between a full model and a random effect reduced model   lei.he at uzh.ch
• [R-sig-ME] Unidentifiable model in lmer   Takahiro Fushimi
• [R-sig-ME] Unidentifiable model in lmer   Thierry Onkelinx
• [R-sig-ME] Unidentifiable model in lmer   Takahiro Fushimi
• [R-sig-ME] Unidentifiable model in lmer   Thierry Onkelinx
• [R-sig-ME] Testing a trend across possibly non-independent estimates, take 2   Steven Orzack
• [R-sig-ME] MCMCglmm: Fixing the priors in multivariate response models without random effects   Iker Vaquero Alba
• [R-sig-ME] MCMCglmm: Fixing the priors in multivariate response models without random effects   Jarrod Hadfield
• [R-sig-ME] MCMCglmm: Fixing the priors in multivariate response models without random effects   Iker Vaquero Alba
• [R-sig-ME] using a continuous-valued variable as fixed effect   Francesco Sigona
• [R-sig-ME] Convergence Error: 0 Fixed Correlations and More   Chris Heffner
• [R-sig-ME] using a continuous-valued variable as fixed effect   Alex Fine
• [R-sig-ME] interaction and nested notation in lmer   Mashitah Jusoh
• [R-sig-ME] Convergence Error: 0 Fixed Correlations and More   Thierry Onkelinx
• [R-sig-ME] Convergence Error: 0 Fixed Correlations and More   Chris Heffner
• [R-sig-ME] Convergence Error: 0 Fixed Correlations and More   Ben Bolker
• [R-sig-ME] Convergence Error: 0 Fixed Correlations and More   Emmanuel Curis
• [R-sig-ME] Testing a trend across possibly non-independent estimates, take 2   Ben Bolker
• [R-sig-ME] Model comparison between a full model and a random effect reduced model   Ben Bolker
• [R-sig-ME] Interpreting a MCMCglmm model with a bivariate response variable   Iker Vaquero Alba
• [R-sig-ME] interaction and nested notation in lmer   Ben Bolker
• [R-sig-ME] Interpreting a MCMCglmm model with a bivariate response variable   Jarrod Hadfield
• [R-sig-ME] Interpreting a MCMCglmm model with a bivariate response variable   Iker Vaquero Alba
• [R-sig-ME] Interpreting a MCMCglmm model with a bivariate response variable   Jarrod Hadfield
• [R-sig-ME] mixed effects model glmer   M West
• [R-sig-ME] mixed effects model glmer   Ben Bolker
• [R-sig-ME] mixed effects model glmer   Ben Bolker
• [R-sig-ME] mixed effects model glmer   Thierry Onkelinx
• [R-sig-ME] question about degrees of freedom in lmer , library(lme4)   m51988mnew at juno.com
• [R-sig-ME] Linear mixed model query   Etn bot
• [R-sig-ME] MCMCglmm bivariate model   Sardell, Rebecca Joanne
• [R-sig-ME] mixed effects model glmer   M West
• [R-sig-ME] Convergence Error: 0 Fixed Correlations and More   Ben Bolker
• [R-sig-ME] question about degrees of freedom in lmer , library(lme4)   Ben Bolker
• [R-sig-ME] Linear mixed model query   Ben Bolker
• [R-sig-ME] MCMCglmm bivariate model   Jarrod Hadfield
• [R-sig-ME] Remove from list   Quincy Elamore
• [R-sig-ME] Remove from list   Ben Bolker
• [R-sig-ME] Stats course: Lisbon, Portugal   Highland Statistics Ltd
• [R-sig-ME] Linear mixed model query   Etn bot

Last message date: Wed Sep 30 16:18:19 CEST 2015
Archived on: Fri Oct 2 20:54:54 CEST 2015

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