First quarter 2014 Archives by date

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Starting: Wed Jan 1 15:21:01 CET 2014
Ending: Mon Mar 31 23:42:23 CEST 2014
Messages: 463

• [R-sig-ME] Sample size calculation   Lenth, Russell V
• [R-sig-ME] Sample size calculation   Ben Bolker
• [R-sig-ME] Sample size calculation   Lenth, Russell V
• [R-sig-ME] Fit negative binomial glmm credible intervals from the predict function?   Sheryn Olson
• [R-sig-ME] Sample size calculation   Bonitta gianluca
• [R-sig-ME] Nested fixed effects --- redux.   Rolf Turner
• [R-sig-ME] Sample size calculation   Ben Bolker
• [R-sig-ME] [Rcpp-devel] Question on lme4 book   Davor Cubranic
• [R-sig-ME] c++ exception with logistic glmer   Cole, Tim
• [R-sig-ME] c++ exception with logistic glmer   Ben Bolker
• [R-sig-ME] Fit negative binomial glmm credible intervals from the predict function?   Ben Bolker
• [R-sig-ME] help   jersa at centrum.cz
• [R-sig-ME] R-sig-mixed-models Digest, Vol 85, Issue 6   Cole, Tim
• [R-sig-ME] R-sig-mixed-models Digest, Vol 85, Issue 6   David Duffy
• [R-sig-ME] help   Ben Bolker
• [R-sig-ME] R-sig-mixed-models Digest, Vol 85, Issue 6   Emmanuel Curis
• [R-sig-ME] R-sig-mixed-models Digest, Vol 85, Issue 6   Cole, Tim
• [R-sig-ME] R-sig-mixed-models Digest, Vol 85, Issue 6   Cole, Tim
• [R-sig-ME] R-sig-mixed-models Digest, Vol 85, Issue 6   Ben Bolker
• [R-sig-ME] help   Ben Bolker
• [R-sig-ME] question regarding output using lme4   Douglas Bates
• [R-sig-ME] question regarding output using lme4   Elin Renborg
• [R-sig-ME] question regarding output using lme4   Ben Bolker
• [R-sig-ME] Need help with MCMCglmm   Sumayia Bashir
• [R-sig-ME] bug in confint with boot method and several random terms ?   espesser
• [R-sig-ME] bug in confint with boot method and several random terms ?   Ben Bolker
• [R-sig-ME] Formula and Start-values for simplest "non-linear" mixed model - nlmer (nlme??, lmer ?)   Robert Chatfield
• [R-sig-ME] Error in lme4 rank of X = 28 < ncol(X) = 29   Ben Bolker
• [R-sig-ME] Formula and Start-values … nlmer (actual error messages)   Robert Chatfield
• [R-sig-ME] MCMCglmm: Prior for Sir function   Linus Holtermann
• [R-sig-ME] Generalized Linear Models   Agnes Schneider
• [R-sig-ME] Generalized Linear Models   Ben Bolker
• [R-sig-ME] post-hoc comparison on interaction term in lme using contrasts   jersa at centrum.cz
• [R-sig-ME] glmmadmb mcmc - scale of variance components   Torbjørn Ergon
• [R-sig-ME] post-hoc comparison on interaction term in lme, using contrasts   Lenth, Russell V
• [R-sig-ME] Replicating SAS results in R with unstructured covariance matrix   Charles Determan Jr
• [R-sig-ME] Generalized Linear Models   Agnes Schneider
• [R-sig-ME] Replicating SAS results in R with unstructured covariance matrix   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] post-hoc comparison on interaction term in lme, using contrasts   jersa at centrum.cz
• [R-sig-ME] RESET Test and Heteroscedasticity Test for Hierarchical Multilevel Model   Linus Holtermann
• [R-sig-ME] Small data set and validity of Multilevel Regression results   Linus Holtermann
• [R-sig-ME] Replicating SAS results in R with unstructured covariance matrix   Tony K.-T.
• [R-sig-ME] lmer Problem   Ben Bolker
• [R-sig-ME] Replicating SAS results in R with unstructured covariance matrix   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Always allow for correlation of random effects?   AvianResearchDivision
• [R-sig-ME] using lme4 to model regression with non-independent (nested?) data   Louis
• [R-sig-ME] Help with groupedData function   Arnold Reynaldi
• [R-sig-ME] using lme4 to model regression with non-independent(nested?) data   David Duffy
• [R-sig-ME] Multiresponse MCMCglmm model specification and questions   Rafael Maia
• [R-sig-ME] Testing significance of deviation of sex ratio (prop of females) from a priori predicted proportion   Tom Wenseleers
• [R-sig-ME] Testing significance of deviation of sex ratio (prop of females) from a priori predicted proportion   ONKELINX, Thierry
• [R-sig-ME] Testing significance of deviation of sex ratio (prop of females) from a priori predicted proportion   Tom Wenseleers
• [R-sig-ME] Testing significance of deviation of sex ratio (prop of females) from a priori predicted proportion   ONKELINX, Thierry
• [R-sig-ME] Testing significance of deviation of sex ratio (prop of females) from a priori predicted proportion   Tom Wenseleers
• [R-sig-ME] non-orthogonal contrasts   Tobias Heed
• [R-sig-ME] Testing significance of deviation of sex ratio (prop of females) from a priori predicted proportion   ONKELINX, Thierry
• [R-sig-ME] Testing significance of deviation of sex ratio (prop of females) from a priori predicted proportion   Tom Wenseleers
• [R-sig-ME] non-orthogonal contrasts   Jake Westfall
• [R-sig-ME] Formula and Start-values for simplest "non-linear" mixed model - nlmer (nlme??, lmer ?)   Ben Bolker
• [R-sig-ME] Testing significance of deviation of sex ratio (prop of females) from a priori predicted proportion   ONKELINX, Thierry
• [R-sig-ME] lmerconvenience function   Cerni, Tania
• [R-sig-ME] non-orthogonal contrasts   Tobias Heed
• [R-sig-ME] R package ‘lme4’   Ben Bolker
• [R-sig-ME] problem with lme4   Ben Bolker
• [R-sig-ME] non-orthogonal contrasts   Jake Westfall
• [R-sig-ME] Formula and Start-values Any help at all?… Self-contained example   Robert Chatfield
• [R-sig-ME] distribution for ratios?   Celine Teplitsky
• [R-sig-ME] distribution for ratios? (Celine Teplitsky)   Highland Statistics Ltd
• [R-sig-ME] distribution for ratios?   Steve Denham
• [R-sig-ME] distribution for ratios?   i white
• [R-sig-ME] Fwd: Re: problem with lme4   Ben Bolker
• [R-sig-ME] mixed effect model question   Thijs vanden Bergh
• [R-sig-ME] distribution for ratios?   David Duffy
• [R-sig-ME] degrees of freedom in mixed model   Iain Gallagher
• [R-sig-ME] degrees of freedom in mixed model   S Ellison
• [R-sig-ME] degrees of freedom in mixed model   Baldwin, Jim -FS
• [R-sig-ME] degrees of freedom in mixed model   Jake Westfall
• [R-sig-ME] degrees of freedom in mixed model   Ben Bolker
• [R-sig-ME] glmmadmb mcmc - scale of variance components   Ben Bolker
• [R-sig-ME] degrees of freedom in mixed model   Iain Gallagher
• [R-sig-ME] degrees of freedom in mixed model   Muldoon, Ariel
• [R-sig-ME] degrees of freedom in mixed model   Jake Westfall
• [R-sig-ME] degrees of freedom in mixed model   Greg Snow
• [R-sig-ME] Formula and Start-values Any help at all?… Self-contained example   Ben Bolker
• [R-sig-ME] [Lme4-authors] Applying 'predict' to glmer model object?   lme4 maintainer
• [R-sig-ME] Formula and Start-values Any help at all?… Yes!   Robert Chatfield
• [R-sig-ME] Maximal random-effects lmer not converging   Stephen Politzer-Ahles
• [R-sig-ME] Statistics courses   Highland Statistics Ltd
• [R-sig-ME] degrees of freedom in mixed model   S Ellison
• [R-sig-ME] Model with interaction alone   Pierre Montpied
• [R-sig-ME] distribution for ratios?   Celine Teplitsky
• [R-sig-ME] Don't understand this variance components output   Stuart Luppescu
• [R-sig-ME] Don't understand this variance components output   Ben Bolker
• [R-sig-ME] Reporting main effects in glmer   Francesco
• [R-sig-ME] MCMCglmm model for heteroskedasticity at level one   Maxim Kovalenko
• [R-sig-ME] Reporting main effects in glmer   Douglas Bates
• [R-sig-ME] Reporting main effects in glmer   Francesco
• [R-sig-ME] glmmADMB symbol error   Sebastián Daza
• [R-sig-ME] Specify prior for sir-function and starting values in the MCMCglmm packages?   Linus Holtermann
• [R-sig-ME] convert mer to merMod?   Ben Bolker
• [R-sig-ME] glmmADMB symbol error   Ben Bolker
• [R-sig-ME] Model with interaction alone   Ben Bolker
• [R-sig-ME] Reporting main effects in glmer   Ben Bolker
• [R-sig-ME] Don't understand this variance components output   Ben Bolker
• [R-sig-ME] Maximal random-effects lmer not converging   Ben Bolker
• [R-sig-ME] mixed effect model question   Ben Bolker
• [R-sig-ME] Simple: don't understand lmer formula and slopes   Robert Chatfield
• [R-sig-ME] Simple: don't understand lmer formula and slopes   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] random slopes versus nested random intercepts   Henrik Singmann
• [R-sig-ME] random slopes versus nested random intercepts   Jake Westfall
• [R-sig-ME] Maximal random-effects lmer not converging   Stephen Politzer-Ahles
• [R-sig-ME] interpretation of predict plot (glmer)   Ben Bolker
• [R-sig-ME] Combining two sets of subplots obtained with different protocols   Diaci, Jurij
• [R-sig-ME] Combining two sets of subplots obtained with different protocols   Baldwin, Jim -FS
• [R-sig-ME] Combining two sets of subplots obtained with different protocols   Diaci, Jurij
• [R-sig-ME] interpretation of predict plot (glmer)   Barbara horta e costa
• [R-sig-ME] Recreating tree allometry model comparisons (Banin et al. 2012)   Koen Hufkens
• [R-sig-ME] prunePed in MCMCglmm   Adam Hayward
• [R-sig-ME] model specification for 2x2x2 factorial between-subjects design with repeated measures   Bruce Gilstrap
• [R-sig-ME] Recreating tree allometry model comparisons (Banin et al. 2012)   Koen Hufkens
• [R-sig-ME] pedigreemm number of levels per grouping factor   Wilson, Alastair
• [R-sig-ME] prunePed in MCMCglmm   David Duffy
• [R-sig-ME] model specification for 2x2x2 factorial between-subjects design with repeated measures   Stephen Politzer-Ahles
• [R-sig-ME] model specification for 2x2x2 factorial between-subjects design with repeated measures   Cole, Tim
• [R-sig-ME] model specification for 2x2x2 factorial between-subjects design with repeated measures   Jake Westfall
• [R-sig-ME] pedigreemm number of levels per grouping factor   Ben Bolker
• [R-sig-ME] Specify prior for sir-function and starting values in the MCMCglmm packages?   Jarrod Hadfield
• [R-sig-ME] MCMCglmm model for heteroskedasticity at level one   Jarrod Hadfield
• [R-sig-ME] Multiresponse MCMCglmm model specification and questions   Jarrod Hadfield
• [R-sig-ME] pedigreemm number of levels per grouping factor   Wilson, Alastair
• [R-sig-ME] Need help with MCMCglmm   Jarrod Hadfield
• [R-sig-ME] predictions from MCMCglmm multinomial model   Jarrod Hadfield
• [R-sig-ME] help with pdDiag and nlme   Anne Hoen
• [R-sig-ME] Differences in autocorrelation between GLS and LME?   Yla Savh
• [R-sig-ME] Checking overdispersion in binomial mixed model   Tom Wenseleers
• [R-sig-ME] bug/problem with update for merMod   Alexandra Kuznetsova
• [R-sig-ME] Checking overdispersion in binomial mixed model   S Ellison
• [R-sig-ME] bug/problem with update for merMod   Ben Bolker
• [R-sig-ME] bug/problem with update for merMod   Ben Bolker
• [R-sig-ME] MuMin package - use of AICc or QAICc?   Alexa Varah
• [R-sig-ME] Checking overdispersion in binomial mixed model   Tom Wenseleers
• [R-sig-ME] random slope model overinflate CI´s   Juan Santos
• [R-sig-ME] installing lme4.0 on OS X 10.9   Levy, Roger
• [R-sig-ME] installing lme4.0 on OS X 10.9   Tobias Heed
• [R-sig-ME] Slight differences in fitted coefficients in lme4_1.0-6 compared to lme4_0.999999-2   Tom Wenseleers
• [R-sig-ME] Slight differences in fitted coefficients in lme4_1.0-6 compared to lme4_0.999999-2   Ben Bolker
• [R-sig-ME] Slight differences in fitted coefficients in lme4_1.0-6 compared to lme4_0.999999-2   Jake Westfall
• [R-sig-ME] Slight differences in fitted coefficients in lme4_1.0-6 compared to lme4_0.999999-2   Tom Wenseleers
• [R-sig-ME] Slight differences in fitted coefficients in lme4_1.0-6 compared to lme4_0.999999-2   Steve Walker
• [R-sig-ME] Slight differences in fitted coefficients in lme4_1.0-6 compared to lme4_0.999999-2   Tom Wenseleers
• [R-sig-ME] Slight differences in fitted coefficients in lme4_1.0-6 compared to lme4_0.999999-2   Ulf Köther
• [R-sig-ME] Slight differences in fitted coefficients in lme4_1.0-6 compared to lme4_0.999999-2   Ben Bolker
• [R-sig-ME] pedigreemm number of levels per grouping factor   David Duffy
• [R-sig-ME] installing lme4.0 on OS X 10.9   Levy, Roger
• [R-sig-ME] installing lme4.0 on OS X 10.9   Hugo.Mildenberger at web.de
• [R-sig-ME] random slope model overinflate CI?s   Greg Guerin
• [R-sig-ME] pedigreemm number of levels per grouping factor   Ben Bolker
• [R-sig-ME] pedigreemm number of levels per grouping factor   David Duffy
• [R-sig-ME] installing lme4.0 on OS X 10.9   Tobias Heed
• [R-sig-ME] installing lme4.0 on OS X 10.9   Cole, Tim
• [R-sig-ME] random slope model overinflate CIs (Greg Guerin)   Juan Santos
• [R-sig-ME] [R-SIG-Mac] installing lme4.0 on OS X 10.9   Simon Urbanek
• [R-sig-ME] [R-SIG-Mac] installing lme4.0 on OS X 10.9   Levy, Roger
• [R-sig-ME] [R-SIG-Mac] installing lme4.0 on OS X 10.9   Simon Urbanek
• [R-sig-ME] Converging mixed models with large number of random coefficients   Thomas Schroder
• [R-sig-ME] random structure in lmer   Cerni, Tania
• [R-sig-ME] pedigreemm number of levels per grouping factor   Wilson, Alastair
• [R-sig-ME] random structure in lmer   Ben Bolker
• [R-sig-ME] Fwd: R: random structure in lmer   Ben Bolker
• [R-sig-ME] lme4: constrain sigma to 0   Asaf Weinstein
• [R-sig-ME] lme4: constrain sigma to 0   Rolf Turner
• [R-sig-ME] lme4: constrain sigma to 0   Rolf Turner
• [R-sig-ME] lme4: constrain sigma to 0   Vincent Dorie
• [R-sig-ME] lme4: constrain sigma to 0   Jake Westfall
• [R-sig-ME] Converging mixed models with large number of random coefficients   Hans Ekbrand
• [R-sig-ME] lme4: constrain sigma to 0   Stuart Luppescu
• [R-sig-ME] lme4: constrain sigma to 0 [SEC=Unclassified]   Steve Candy
• [R-sig-ME] lme4: constrain sigma to 0 [SEC=Unclassified]   David Duffy
• [R-sig-ME] Multivariate multilevel analysis with nlme   Corentin Gonthier
• [R-sig-ME] lme4: constrain sigma to 0   Vincent Dorie
• [R-sig-ME] lme4: constrain sigma to 0   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Modelling heterogeneous variances for an interaction term in MCMCglmm?   Jackie Wood
• [R-sig-ME] new version of lme4 - Log-Likelihood of model returned as "-Inf"   juwb08 at hampshire.edu
• [R-sig-ME] new version of lme4 - Log-Likelihood of model returned as "-Inf"   juwb08 at hampshire.edu
• [R-sig-ME] lme4: constrain sigma to 0   Rolf Turner
• [R-sig-ME] new version of lme4 - Log-Likelihood of model returned as "-Inf"   Ben Bolker
• [R-sig-ME] new version of lme4 - Log-Likelihood of model returned as "-Inf"   Ben Bolker
• [R-sig-ME] Modelling heterogeneous variances for an interaction term in MCMCglmm?   Jarrod Hadfield
• [R-sig-ME] lme4: constrain sigma to 0   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Unable to install glmmadmb   Emma Stone
• [R-sig-ME] MCMCglmm and massing records in relation to ainv   Szymek Drobniak
• [R-sig-ME] Modelling heterogeneous variances for an interaction term in MCMCglmm?   Jackie Wood
• [R-sig-ME] Unable to install glmmadmb   Ben Bolker
• [R-sig-ME] Modelling heterogeneous variances for an interaction term in MCMCglmm?   Jarrod Hadfield
• [R-sig-ME] lme4: constrain sigma to 0   Rolf Turner
• [R-sig-ME] lme4: constrain sigma to 0   Rolf Turner
• [R-sig-ME] lme4: constrain sigma to 0   Asaf Weinstein
• [R-sig-ME] lme4: constrain sigma to 0   Vincent Dorie
• [R-sig-ME] lme4: constrain sigma to 0   Vincent Dorie
• [R-sig-ME] lme4: constrain sigma to 0   Vincent Dorie
• [R-sig-ME] Modelling heterogeneous variances for an interaction term in MCMCglmm?   Jackie Wood
• [R-sig-ME] new version of lme4 - Log-Likelihood of model returned as "-Inf"   Ben Bolker
• [R-sig-ME] Modelling heterogeneous variances for an interaction term in MCMCglmm?   Jarrod Hadfield
• [R-sig-ME] Pedigreemm on lme4-1.0   Joehanes, Roby (NIH/NHLBI) [F]
• [R-sig-ME] Pedigreemm on lme4-1.0   Ben Bolker
• [R-sig-ME] issue with glmer() with the newest updated lme4 version   Ben Bolker
• [R-sig-ME] MCMCglmm and massing records in relation to ainv   Jarrod Hadfield
• [R-sig-ME] Pedigreemm on lme4-1.0   Joehanes, Roby (NIH/NHLBI) [F]
• [R-sig-ME] Pedigreemm on lme4-1.0   Ben Bolker
• [R-sig-ME] Huber-White standard errors for glmer Poisson fits   Theodore Lytras
• [R-sig-ME] Huber-White standard errors for glmer Poisson fits   Ben Bolker
• [R-sig-ME] Huber-White standard errors for glmer Poisson fits   Steve Walker
• [R-sig-ME] Huber-White standard errors for glmer Poisson fits   Theodore Lytras
• [R-sig-ME] Variance Inflation Factors   Nick Isaac
• [R-sig-ME] Modelling heterogeneous variances for an interaction term in MCMCglmm?   Jackie Wood
• [R-sig-ME] Modelling heterogeneous variances for an interaction term in MCMCglmm?   Jarrod Hadfield
• [R-sig-ME] mixed effect model question   Thijs vanden Bergh
• [R-sig-ME] MCMCglmm model for heteroskedasticity at level one   Maxim Kovalenko
• [R-sig-ME] MCMCglmm model for heteroskedasticity at level one   Jarrod Hadfield
• [R-sig-ME] lmer estimates account for random effect?   Daniel Cher
• [R-sig-ME] R2 of a linear mixed model in the "nlme" package   Douglas Bates
• [R-sig-ME] Fwd: Variance Inflation Factors   Nick Isaac
• [R-sig-ME] R2 of a linear mixed model in the "nlme" package   Nick Isaac
• [R-sig-ME] Pedigreemm on lme4-1.0   Ben Bolker
• [R-sig-ME] Pedigreemm on lme4-1.0   David Duffy
• [R-sig-ME] R2 of a linear mixed model in the "nlme" package   Friso Muijsers
• [R-sig-ME] Pedigreemm on lme4-1.0   Ben Bolker
• [R-sig-ME] Pedigreemm on lme4-1.0   David Duffy
• [R-sig-ME] Model is nearly unidentifiable with glmer   Ramon Diaz-Uriarte
• [R-sig-ME] How do you do?   Tina Wey
• [R-sig-ME] Order in which variance components are reported   Asaf Weinstein
• [R-sig-ME] order of models when using anova   Juliet Hannah
• [R-sig-ME] order of models when using anova   Steve Taylor
• [R-sig-ME] order of models when using anova   Rolf Turner
• [R-sig-ME] order of models when using anova   Juliet Hannah
• [R-sig-ME] lme4 problem solved by updating Rcpp   Hugo Quené
• [R-sig-ME] order of models when using anova   Rolf Turner
• [R-sig-ME] Help with analyzing multivariate outcomes   marKo
• [R-sig-ME] Help with analyzing multivariate outcomes   marKo
• [R-sig-ME] Variance Inflation Factors   Nick Isaac
• [R-sig-ME] Variance Inflation Factors   John Fox
• [R-sig-ME] glmer function in lme4 package   Douglas Bates
• [R-sig-ME] Help: Split-Split model nested in a nested structure   Zia Ahmed
• [R-sig-ME] Help: Split-Split model nested in a nested structure   Zia Ahmed
• [R-sig-ME] Split-Split model in nested structure   Zia Ahmed
• [R-sig-ME] glmer function in lme4 - false convergence warning message   Austin, Peter
• [R-sig-ME] Help: Split-Split model nested in a nested structure   ian m s white
• [R-sig-ME] Order in which variance components are reported   Ben Bolker
• [R-sig-ME] lme4 problem solved by updating Rcpp   Ben Bolker
• [R-sig-ME] Order in which variance components are reported   Douglas Bates
• [R-sig-ME] Specifying fixed residual variances for multilevel models   Zaslavsky, Alan M.
• [R-sig-ME] glmer function in lme4 - false convergence warning message, (Austin, Peter)   Highland Statistics Ltd
• [R-sig-ME] GLMM R package   Ben Bolker
• [R-sig-ME] Model is nearly unidentifiable with glmer   Ramon Diaz-Uriarte
• [R-sig-ME] Model is nearly unidentifiable with glmer   Martin Maechler
• [R-sig-ME] Model is nearly unidentifiable with glmer   Ramon Diaz-Uriarte
• [R-sig-ME] Specifying fixed residual variances for multilevel models   Vincent Dorie
• [R-sig-ME] Problems installing lme4 1.0-6 (won't compile due to Rcpp not compiling)   Austin, Peter
• [R-sig-ME] spatial GLMMs   Ben Bolker
• [R-sig-ME] spatial GLMMs   Kevin Wright
• [R-sig-ME] Model is nearly unidentifiable with glmer   Ramon Diaz-Uriarte
• [R-sig-ME] Help with analyzing multivariate outcomes   marKo
• [R-sig-ME] Characterizing correlation between binomial intercepts   Mike Lawrence
• [R-sig-ME] Characterizing correlation between binomial intercepts   Jake Westfall
• [R-sig-ME] Characterizing correlation between binomial intercepts   Mike Lawrence
• [R-sig-ME] Characterizing correlation between binomial intercepts   Jake Westfall
• [R-sig-ME] Specifying fixed residual variances for multilevel models   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Characterizing correlation between binomial intercepts   Joshua Wiley
• [R-sig-ME] nlmer self starting function   Daniel Hocking
• [R-sig-ME] Model is nearly unidentifiable with glmer   David Duffy
• [R-sig-ME] Characterizing correlation between binomial intercepts   Mike Lawrence
• [R-sig-ME] Characterizing correlation between binomial intercepts   Jake Westfall
• [R-sig-ME] error using predict() with lmer   Ben Bolker
• [R-sig-ME] Error in sprintf   Alexej Siren
• [R-sig-ME] Error in sprintf   Alexej Siren
• [R-sig-ME] Model is nearly unidentifiable with glmer   Ramon Diaz-Uriarte
• [R-sig-ME] confint.merMod(): method = "boot" throws error   Bertolt Meyer
• [R-sig-ME] Order in which variance components are reported   Asaf Weinstein
• [R-sig-ME] Error in sprintf   Ben Bolker
• [R-sig-ME] confint.merMod(): method = "boot" throws error   Ben Bolker
• [R-sig-ME] Error in sprintf   Ben Bolker
• [R-sig-ME] Problems installing lme4 1.0-6 (won't compile due to Rcpp not compiling)   Ben Bolker
• [R-sig-ME] prediction from glmer.nb   Thomas Lee Anderson
• [R-sig-ME] Error in sprintf   Alexej Siren
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Emilia Ellsiepen
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Douglas Bates
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Ben Bolker
• [R-sig-ME] Creation of a dummy variable with Lme4   Ben Bolker
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Levy, Roger
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Douglas Bates
• [R-sig-ME] glmmADMB (mixed binomal random effects)   Ben Bolker
• [R-sig-ME] nlmer self starting function   Ben Bolker
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Levy, Roger
• [R-sig-ME] namer self starting function   Daniel J Hocking
• [R-sig-ME] MCMCglmm: predictions for posterior predictive checks   Ramon Diaz-Uriarte
• [R-sig-ME] MCMCglmm: predictions for posterior predictive checks   Jarrod Hadfield
• [R-sig-ME] MCMCglmm: predictions for posterior predictive checks   Jarrod Hadfield
• [R-sig-ME] prediction from glmer.nb   Ben Bolker
• [R-sig-ME] MCMCglmm: predictions for posterior predictive checks   Ramon Diaz-Uriarte
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Emilia Ellsiepen
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Emilia Ellsiepen
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Levy, Roger
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Martin Maechler
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Emilia Ellsiepen
• [R-sig-ME] MCMCglmm variance estimates Poisson distribution   Hodsoll, John
• [R-sig-ME] MCMCglmm variance estimates Poisson distribution   Jarrod Hadfield
• [R-sig-ME] MCMCglmm variance estimates Poisson distribution   Hodsoll, John
• [R-sig-ME] MCMCglmm variance estimates Poisson distribution   Jarrod Hadfield
• [R-sig-ME] Complete separation example   Vincent Dorie
• [R-sig-ME] Complete separation example   Jarrod Hadfield
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Levy, Roger
• [R-sig-ME] Complete separation example   Vincent Dorie
• [R-sig-ME] Complete separation example   Ben Bolker
• [R-sig-ME] MCMCglmm variance estimates Poisson distribution   Hodsoll, John
• [R-sig-ME] plot observed vs fitted with model with NAs in data   Paul Tanger
• [R-sig-ME] MCMCglmm variance estimates Poisson distribution   Jarrod Hadfield
• [R-sig-ME] plot observed vs fitted with model with NAs in data   ONKELINX, Thierry
• [R-sig-ME] MCMCglmm variance estimates Poisson distribution   Hodsoll, John
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Emilia Ellsiepen
• [R-sig-ME] plot observed vs fitted with model with NAs in data   Paul Tanger
• [R-sig-ME] plot observed vs fitted with model with NAs in data   Ben Bolker
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Levy, Roger
• [R-sig-ME] plot observed vs fitted with model with NAs in data   Paul Tanger
• [R-sig-ME] thoughts about Stroup 2014   Ben Bolker
• [R-sig-ME] Splines in MCMCglmm   Linus Holtermann
• [R-sig-ME] negative binomial distribution mixture model   Fabian Amman
• [R-sig-ME] formula random terms in lmer function   Senegaf
• [R-sig-ME] formula random terms in lmer function   Ben Bolker
• [R-sig-ME] Splines in MCMCglmm   Jarrod Hadfield
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Shravan Vasishth
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Levy, Roger
• [R-sig-ME] negative binomial distribution mixture model   Ben Bolker
• [R-sig-ME] likelihood-ratio tests in conflict with coefficiants in maximal random effect model   Shravan Vasishth
• [R-sig-ME] Curved residuals vs fitted plot   Victoria Wickens
• [R-sig-ME] Curved residuals vs fitted plot   Paul Johnson
• [R-sig-ME] gee, geese and glmer   Ben Bolker
• [R-sig-ME] problem with lme4   Saussac Mathilde
• [R-sig-ME] Curved residuals vs fitted plot   Victoria Wickens
• [R-sig-ME] gee, geese and glmer   Yang, Qiong
• [R-sig-ME] gee, geese and glmer   Ming-Huei Chen
• [R-sig-ME] Course: Beginner's Guide to MCMC, mixed models and GLMM with R   Highland Statistics Ltd
• [R-sig-ME] gee, geese and glmer   Martin Maechler
• [R-sig-ME] Release Dates lme4 Version   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Modeling precision and recall with GLMMs   Ramon Diaz-Uriarte
• [R-sig-ME] Release Dates lme4 Version   Ben Bolker
• [R-sig-ME] gee, geese and glmer   Ben Bolker
• [R-sig-ME] Release Dates lme4 Version   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Mixed Effects with Cox model (multiple events)   Maria Helena Mourino Silva Nunes
• [R-sig-ME] Mixed Effects with Cox model (multiple events)   Ben Bolker
• [R-sig-ME] problem with lme4   Saussac Mathilde
• [R-sig-ME] Curved residuals vs fitted plot   Victoria Wickens
• [R-sig-ME] problem with lme4   Ben Bolker
• [R-sig-ME] problem with lme4   Steve Walker
• [R-sig-ME] Bug in lme4: attr(mod at frame, "na.action") is not re-initialized to NULL   Alexandre Courtiol
• [R-sig-ME] Bug in lme4: attr(mod at frame, "na.action") is not re-initialized to NULL   Steve Walker
• [R-sig-ME] Bug in lme4: attr(mod at frame, "na.action") is not re-initialized to NULL   Alexandre Courtiol
• [R-sig-ME] Bug in lme4: attr(mod at frame, "na.action") is not re-initialized to NULL   Ben Bolker
• [R-sig-ME] Bug in lme4: attr(mod at frame, "na.action") is not re-initialized to NULL   Ben Bolker
• [R-sig-ME] simultaneous nonlinear mixed effect equations   Mateus Freua
• [R-sig-ME] Modeling precision and recall with GLMMs   Jake Westfall
• [R-sig-ME] Modeling precision and recall with GLMMs   Jake Westfall
• [R-sig-ME] problem with lme4   Saussac Mathilde
• [R-sig-ME] Modeling precision and recall with GLMMs   Ramon Diaz-Uriarte
• [R-sig-ME] Modeling precision and recall with GLMMs   Ramon Diaz-Uriarte
• [R-sig-ME] Curved residuals vs fitted plot   Paul Johnson
• [R-sig-ME] Modeling precision and recall with GLMMs   Daniel Wright
• [R-sig-ME] Modeling precision and recall with GLMMs   Jake Westfall
• [R-sig-ME] formatting lmer with nested fixed and random effects   Javan Bauder
• [R-sig-ME] Curved residuals vs fitted plot   Victoria Wickens
• [R-sig-ME] Modeling precision and recall with GLMMs   Ramon Diaz-Uriarte
• [R-sig-ME] Bernoulli glmm question.   Rolf Turner
• [R-sig-ME] Bernoulli glmm question.   Marko Bachl
• [R-sig-ME] Bernoulli glmm question.   Tibor Kiss
• [R-sig-ME] Bernoulli glmm question.   espesser
• [R-sig-ME] meta-regression using nlme with study-specific weights   Dylan Craven
• [R-sig-ME] gee, geese and glmer   Yang, Qiong
• [R-sig-ME] gee, geese and glmer   Ben Bolker
• [R-sig-ME] Bernoulli glmm question.   Rolf Turner
• [R-sig-ME] gee, geese and glmer   Ben Bolker
• [R-sig-ME] FW: GLMM Question   Ben Bolker
• [R-sig-ME] Release Dates lme4 Version   Ben Bolker
• [R-sig-ME] Release Dates lme4 Version   Rolf Turner
• [R-sig-ME] Release Dates lme4 Version   Vincent Dorie
• [R-sig-ME] Release Dates lme4 Version   Ben Bolker
• [R-sig-ME] Release Dates lme4 Version   Vincent Dorie
• [R-sig-ME] Release Dates lme4 Version   Ben Bolker
• [R-sig-ME] Release Dates lme4 Version   Rolf Turner
• [R-sig-ME] Easily perform your own Genome-wide Epigenetic analyses   Karolyn Giang
• [R-sig-ME] Fwd: RE: gee, geese and glmer   Ben Bolker
• [R-sig-ME] Fwd: RE: gee, geese and glmer   David Duffy
• [R-sig-ME] Convergence failure with glmer().   Rolf Turner
• [R-sig-ME] MCMCglmm update (2.18)   Jarrod Hadfield
• [R-sig-ME] Convergence failure with glmer().   Ben Bolker
• [R-sig-ME] gee, geese and glmer   Ben Bolker
• [R-sig-ME] gee, geese and glmer   Ben Bolker
• [R-sig-ME] gee, geese and glmer   Vincent Dorie
• [R-sig-ME] gee, geese and glmer   Vincent Dorie
• [R-sig-ME] gee, geese and glmer   Ben Bolker
• [R-sig-ME] gee, geese and glmer   Vincent Dorie
• [R-sig-ME] nested random factor   sandrine le squin
• [R-sig-ME] nested random factor   Seth Bigelow
• [R-sig-ME] nested random factor   Ben Bolker
• [R-sig-ME] comparison estimation maximum likelihood and restricted maximum likelihood   Douglas Bates
• [R-sig-ME] MCMCglmm predictions   Shamil Sadigov
• [R-sig-ME] MCMCglmm predictions   Jarrod Hadfield
• [R-sig-ME] repeated measures random effects structure   Kevin Burls
• [R-sig-ME] repeated measures random effects structure   Lionel
• [R-sig-ME] lmer option nAGQ=0   Ben Pelzer
• [R-sig-ME] (no subject)   Rose, Charles E. (CDC/OID/NCHHSTP)
• [R-sig-ME] Recall:   Rose, Charles E. (CDC/OID/NCHHSTP)
• [R-sig-ME] Multilevel with spatial effects   Linus Holtermann
• [R-sig-ME] Multilevel with spatial effects   Martí Casals
• [R-sig-ME] Predicted values in MCMCglmm family="threshold"   Shamil Sadigov
• [R-sig-ME] lmer option nAGQ=0   Ben Bolker
• [R-sig-ME] Fwd: ADMB course Montpellier ISEC   Ben Bolker
• [R-sig-ME] Predicted values in MCMCglmm family="threshold"   Jarrod Hadfield
• [R-sig-ME] Predicted values in MCMCglmm family="threshold"   Jarrod Hadfield
• [R-sig-ME] lmer option nAGQ=0   Ben Pelzer
• [R-sig-ME] compare maximum likelihood and restricted maximum likelihood   Adianto Pangaribuan
• [R-sig-ME] Question of Brasil   Ben Bolker
• [R-sig-ME] Multiple random and cross-classified factors specification and caveats in a generalized linear model (with MCMCglmm)   Ned Dochtermann
• [R-sig-ME] R-sig-mixed-models Digest, Vol 87, Issue 34   Malcolm Fairbrother
• [R-sig-ME] Random effects of logistic regression: bias towards the mean?   Tom Lentz
• [R-sig-ME] Random effects of logistic regression: bias towards the mean?   Tibor Kiss
• [R-sig-ME] R-sig-mixed-models Digest, Vol 87, Issue 34   Jarrod Hadfield
• [R-sig-ME] nested random factor   sandrine le squin
• [R-sig-ME] Random effects of logistic regression: bias towards the mean?   Tom Lentz
• [R-sig-ME] A mixed effects model for variances of binomial probability as a response   nimrod.rubinstein
• [R-sig-ME] Wrong convergence warnings with glmer in lme4 version 1.1-6??   Tom Davis
• [R-sig-ME] A mixed effects model for variances of binomial probability as a response   nimrod.rubinstein
• [R-sig-ME] Wrong convergence warnings with glmer in lme4 version 1.1-6??   Ben Bolker
• [R-sig-ME] A mixed effects model for variances of binomial probability as a response   nimrod.rubinstein
• [R-sig-ME] comparison maximum likelihood and restricted maximum likelihood   Adianto Pangaribuan
• [R-sig-ME] Help with a mixed model analysis   Rodrigo Junqueira Pereira
• [R-sig-ME] compare maximum likelihood and restricted maximum likelihood   Ben Bolker
• [R-sig-ME] Help with a mixed model analysis   Ben Bolker
• [R-sig-ME] A mixed effects model for variances of binomialprobability as a responsee   Ramon Diaz-Uriarte
• [R-sig-ME] Random effects of logistic regression: bias towards the mean?   Tom Lentz
• [R-sig-ME] Temporal correlation structure in mixed model   Worthington, Thomas A
• [R-sig-ME] comparison maximum likelihood and restricted maximum likelihood   Ben Bolker
• [R-sig-ME] Temporal correlation structure in mixed model   Ben Bolker
• [R-sig-ME] Wrong convergence warnings with glmer in lme4 version 1.1-6??   Ben Bolker
• [R-sig-ME] Temporal correlation structure in mixed model   Worthington, Thomas A
• [R-sig-ME] A mixed effects model for variances of binomialprobability as a responsee   nimrod.rubinstein
• [R-sig-ME] Temporal correlation structure in mixed model   Worthington, Thomas A
• [R-sig-ME] A mixed effects model for variances of binomialprobability as a responsee   Ramon Diaz-Uriarte
• [R-sig-ME] set up of priors in MCMCglmm for different error families   albrechj at staff.uni-marburg.de
• [R-sig-ME] Prediction from a multinomial model in MCMCglmm   Szymek Drobniak
• [R-sig-ME] Message error   Cintia Akemi Oi
• [R-sig-ME] set up of priors in MCMCglmm for phylogenetic mixed models   albrechj at staff.uni-marburg.de
• [R-sig-ME] A mixed effects model for variances of binomialprobability as a responsee   nimrod.rubinstein
• [R-sig-ME] A mixed effects model for variances of binomialprobability as a responsee   nimrod.rubinstein
• [R-sig-ME] GPU computing with lme4   Koen Neijenhuijs
• [R-sig-ME] Message error   Neil Collier
• [R-sig-ME] GPU computing with lme4   Ben Bolker
• [R-sig-ME] lsmeans for multiple response variables   Paul Tanger
• [R-sig-ME] Message error   Ben Bolker
• [R-sig-ME] lsmeans for multiple response variables   Ben Bolker
• [R-sig-ME] R-sig-mixed-models Digest, Vol 87, Issue 48   Koen Neijenhuijs
• [R-sig-ME] summary fn zero-inflated MCMC models.   Hodsoll, John
• [R-sig-ME] gee, geese and glmer   Yang, Qiong
• [R-sig-ME] summary fn zero-inflated MCMC models.   Jarrod Hadfield
• [R-sig-ME] [Lme4-authors] Underdispersion in GLMM   lme4 maintainer

Last message date: Mon Mar 31 23:42:23 CEST 2014
Archived on: Tue Apr 1 22:16:26 CEST 2014

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