Second quarter 2013 Archives by date

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Starting: Tue Apr 2 09:01:15 CEST 2013
Ending: Sun Jun 30 19:56:27 CEST 2013
Messages: 372

• [R-sig-ME] Newest lme4 package?   Ben Bolker
• [R-sig-ME] lmer and semi-definite covariance matrices for random effects   Gabriel Baud-Bovy
• [R-sig-ME] lmer and semi-definite covariance matrices for randomeffects   David Duffy
• [R-sig-ME] lmer and semi-definite covariance matrices for random effects   i white
• [R-sig-ME] longitudinal data/repeated measure   Ludovico Frate
• [R-sig-ME] Low intercept estimate in a binomial glmm   Zack Steel
• [R-sig-ME] Low intercept estimate in a binomial glmm   Jarrod Hadfield
• [R-sig-ME] Low intercept estimate in a binomial glmm   Zack Steel
• [R-sig-ME] Low intercept estimate in a binomial glmm   lborger
• [R-sig-ME] Low intercept estimate in a binomial glmm   Jarrod Hadfield
• [R-sig-ME] Low intercept estimate in a binomial glmm   lborger
• [R-sig-ME] Low intercept estimate in a binomial glmm   Ben Bolker
• [R-sig-ME] lmer and semi-definite covariance matrices for randomeffects   David Duffy
• [R-sig-ME] no-normal dependent variable   Iasonas Lamprianou
• [R-sig-ME] longitudinal data/repeated measure   ONKELINX, Thierry
• [R-sig-ME] longitudinal data/repeated measure   Ludovico Frate
• [R-sig-ME] Low intercept estimate in a binomial glmm   Steve Denham
• [R-sig-ME] MCMCglmm:interaction bt continuous variable and categorical random effect   john benson
• [R-sig-ME] how to write formula interface for my mlm data simulator?   Paul Johnson
• [R-sig-ME] no-normal dependent variable   Ben Bolker
• [R-sig-ME] Low intercept estimate in a binomial glmm   Paul Johnson
• [R-sig-ME] mixed model negative bionomial   Paul Johnson
• [R-sig-ME] Low intercept estimate in a binomial glmm   John Maindonald
• [R-sig-ME] Low intercept estimate in a binomial glmm   Ben Bolker
• [R-sig-ME] Low intercept estimate in a binomial glmm   John Maindonald
• [R-sig-ME] development version of lme4 on Fedora 18   Jonathan Baron
• [R-sig-ME] Visualising mixed effects model   Ross Ahmed
• [R-sig-ME] Visualising mixed effects model   Ross Ahmed
• [R-sig-ME] Visualising mixed effects model   Joshua Wiley
• [R-sig-ME] Checking for outliers in a glmer (lme4 package) with 3 random factors   Maurits Van Zinnicq Bergmann
• [R-sig-ME] zero inflated - glm.fit warning   Diego Bilski
• [R-sig-ME] zero inflated - glm.fit warning   Martí Casals
• [R-sig-ME] lme4 binary for OSX   Federico Calboli
• [R-sig-ME] lme4 binary for OSX   ONKELINX, Thierry
• [R-sig-ME] lme4 binary for OSX   Federico Calboli
• [R-sig-ME] lme4 binary for OSX   Ben Bolker
• [R-sig-ME] MCMCglmm multivariate multilevel meta-analysis   Nico N
• [R-sig-ME] GLMM question in lme4   Hallman, Tyler
• [R-sig-ME] GLMM question in lme4   Ben Bolker
• [R-sig-ME] MCMCglmm multivariate multilevel meta-analysis   Jarrod Hadfield
• [R-sig-ME] AUTO: Pie Müller is out of the office. (returning 15.04.2013)   Pie.Mueller at unibas.ch
• [R-sig-ME] Ben's Point about Centering and GLMM (was: Re: Low intercept estimate in a binomial glmm   Paul Johnson
• [R-sig-ME] Ben's Point about Centering and GLMM (was: Re: Low intercept estimate in a binomial glmm   John Maindonald
• [R-sig-ME] Ben's Point about Centering and GLMM (was: Re: Low intercept estimate in a binomial glmm   Ben Bolker
• [R-sig-ME] How to include temporal autocorrelation in GLMM?   Stolen, D Eric (KSC-IHA-4400)[InoMedic Health Applications, Inc.]
• [R-sig-ME] MCMCglmm multivariate multilevel meta-analysis   Nico N
• [R-sig-ME] New Variant of Same Question: bias corrected logit estimates   Paul Johnson
• [R-sig-ME] New Variant of Same Question: bias corrected logit estimates   Ben Bolker
• [R-sig-ME] Solution to fitting -lme4- models with lagged variables   Clive Nicholas
• [R-sig-ME] New Variant of Same Question: bias corrected logit estimates   David Atkins
• [R-sig-ME] Solution to fitting -lme4- models with lagged variables   Ben Bolker
• [R-sig-ME] Random effect on main effect only when testing interaction   nospamjehol-lists at yahoo.fr
• [R-sig-ME] Power test in PAMM   Graeme Armstrong
• [R-sig-ME] lme4 and mcmcsamp   Aidan MacNamara
• [R-sig-ME] Residuals in lmer and glmmADMB   Elinor McGrath
• [R-sig-ME] lme4 and mcmcsamp   Dennis Murphy
• [R-sig-ME] How to include temporal autocorrelation in GLMM?   Ben Bolker
• [R-sig-ME] How to deal with outcomes assessed by raters?   Joseph Bulbulia
• [R-sig-ME] How to deal with outcomes assessed by raters?   Chris Howden
• [R-sig-ME] How to deal with outcomes assessed by raters?   David Duffy
• [R-sig-ME] How to deal with outcomes assessed by raters?   Joseph Bulbulia
• [R-sig-ME] Question about Multilevel ZIP model with glmmADMB   Nicolas Gavoille
• [R-sig-ME] lme4 crossed random effects predictions   Philip Harrison
• [R-sig-ME] Cross-level interaction must include constitutive terms of interactions in the following code?   Richard Asturia
• [R-sig-ME] Checking for outliers in a glmer (lme4 package) containing multiple random factors   Maurits van Zinnicq Bergmann
• [R-sig-ME] How can I optimize the performance of mixed models?   Felipe Vargas Reeve
• [R-sig-ME] How can I optimize the performance of mixed models?   Titus von der Malsburg
• [R-sig-ME] Trouble with random effect in nlme   adeline buisset
• [R-sig-ME] Unbalanced design mixed models   Boulanger, Yan
• [R-sig-ME] Unbalanced design mixed models   Paul Johnson
• [R-sig-ME] How can I optimize the performance of mixed models?   Gabriel Baud-Bovy
• [R-sig-ME] How can I optimize the performance of mixed models?   Douglas Bates
• [R-sig-ME] Unbalanced design mixed models   Douglas Bates
• [R-sig-ME] How to deal with outcomes assessed by raters?   Andrew Robinson
• [R-sig-ME] How to deal with outcomes assessed by raters?   Joseph Bulbulia
• [R-sig-ME] strange interaction behavior in lme4   Iasonas Lamprianou
• [R-sig-ME] Anova tables for the coxme() function?   Matter Philippe
• [R-sig-ME] generalized mixed model   Ludovico Frate
• [R-sig-ME] problem with nested mixed model   Érika Tsuda
• [R-sig-ME] problem with nested mixed model   Seth Bigelow
• [R-sig-ME] RE : Unbalanced design mixed models   Boulanger, Yan
• [R-sig-ME] comparing results across software packages   Price, Emily
• [R-sig-ME] RE : Unbalanced design mixed models   S Ellison
• [R-sig-ME] comparing results across software packages   Ben Bolker
• [R-sig-ME] comparing results across software packages   Ben Bolker
• [R-sig-ME] GLMM or GLM?   joana martelo
• [R-sig-ME] GLMM or GLM?   Gabriel Baud-Bovy
• [R-sig-ME] Model selection of fixed effects in glmmADMB   Ruth Kelly
• [R-sig-ME] how to interpret non-linear mixed effect model results   Lara Reichmann
• [R-sig-ME] How to include a second random effect in non linear mixed effects regression?   adeline buisset
• [R-sig-ME] Make a 'between-and-within-factors' ANOVA with lmer function   Vanni Rovera
• [R-sig-ME] Make a 'between-and-within-factors' ANOVA with lmer function   lborger
• [R-sig-ME] how to interpret non-linear mixed effect model results   Seth Bigelow
• [R-sig-ME] Overlapping matrix pre lmer or nlme   Felipe Vargas Reeve
• [R-sig-ME] Make a 'between-and-within-factors' ANOVA with lmer function   Vanni Rovera
• [R-sig-ME] lmer in a retrospective case-matched cohort study with repeated measures   Raoul Schorer
• [R-sig-ME] AUTO: Pie Müller is out of the office. (returning 30.04.2013)   Pie.Mueller at unibas.ch
• [R-sig-ME] Make a 'between-and-within-factors' ANOVA with lmer function   peter dalgaard
• [R-sig-ME] model selection in glmmPQL   Ludovico Frate
• [R-sig-ME] poor mixing in MCMCglmm   Joshua Wiley
• [R-sig-ME] MCMCglmm prediction intervals with exponential distribution   Issac Shams
• [R-sig-ME] Identifying the random effect associated with each residual from a GLMM   Ben Wilson
• [R-sig-ME] MCMCglmm and estimated breeding values   Liz Hare
• [R-sig-ME] Doubts mixed linear model with tweedie   Barbara Silva
• [R-sig-ME] Convergence problem   Boulanger, Yan
• [R-sig-ME] Convergence problem   Pantelis Hadjipantelis
• [R-sig-ME] Convergence problem   Boulanger, Yan
• [R-sig-ME] Convergence problem   Pantelis Hadjipantelis
• [R-sig-ME] MCMCglmm with datasets of different lengths   Ingleby, Fiona
• [R-sig-ME] MCMCglmm with datasets of different lengths   David Duffy
• [R-sig-ME] Calculating HPD for marginal effects of interactions of lmer models   Tomas Note
• [R-sig-ME] Calculating HPD for marginal effects of interactions of lmer models   Joshua Wiley
• [R-sig-ME] MCMCglmm with datasets of different lengths   Ingleby, Fiona
• [R-sig-ME] mixed effects model: R error   Omnia Abdulrazeg
• [R-sig-ME] Re; skolenik   Joe King
• [R-sig-ME] Fwd: Appropriate random effects structure ?   Josh Dorrough
• [R-sig-ME] MCMCglmm with datasets of different lengths   David Duffy
• [R-sig-ME] MCMCglmm with datasets of different lengths   Ingleby, Fiona
• [R-sig-ME] Which model to use?   Benjamin Gillespie
• [R-sig-ME] Ok with a "small amount" of non-normality?   Boulanger, Yan
• [R-sig-ME] Approximate standard error for variance component with lmer   Jehredy
• [R-sig-ME] Approximate standard error for variance component with lmer   Douglas Bates
• [R-sig-ME] lme4: log likelihoods for glmer using Laplace approx versus Gauss-Hermite, binary data   Mary Lesperance
• [R-sig-ME] Ok with a "small amount" of non-normality?   Andrew Robinson
• [R-sig-ME] Ok with a "small amount" of non-normality?   John Maindonald
• [R-sig-ME] groupedData plots (nlme)   Omnia Abdulrazeg
• [R-sig-ME] Ok with a "small amount" of non-normality?   Greg Snow
• [R-sig-ME] Ok with a "small amount" of non-normality?   John Maindonald
• [R-sig-ME] lme4 with proportion data and lack of fir otherwise   Milos Blagojevic
• [R-sig-ME] parameter estimation in lmer model   Soner Iscan
• [R-sig-ME] Ok with a "small amount" of non-normality?   Boulanger, Yan
• [R-sig-ME] MLM Output in nlme: Searching for coefficients to bootstrap mediation in a MLM with random intercept & random slope (to use with code generator at www.quantpsy.org)   Gerteis, Ann Kathrin Sophie (1114xxx)
• [R-sig-ME] Forcing mixed models through origin   Boulanger, Yan
• [R-sig-ME] Fixed covariates in nlmer()   Marko Bachl
• [R-sig-ME] Spatially autocorrelated random effects   Hugh Sturrock
• [R-sig-ME] variance structure of random effects using lme   Donegan, Sarah
• [R-sig-ME] lme4 with proportion data and lack of fir otherwise   Seth Bigelow
• [R-sig-ME] lme4 with proportion data and lack of fir otherwise   Seth Bigelow
• [R-sig-ME] MCMCglmm model with 2 datasets   Ingleby, Fiona
• [R-sig-ME] mixed-models problem   Volker Dellwo
• [R-sig-ME] lme4 with proportion data and lack of fir otherwise   Milos Blagojevic
• [R-sig-ME] MCMCglmm with datasets of different lengths   David Duffy
• [R-sig-ME] mixed-models problem   Jake Westfall
• [R-sig-ME] MCMCglmm model with 2 datasets   Ingleby, Fiona
• [R-sig-ME] Re(5): skolenik   Joe King
• [R-sig-ME] Multiple models on same data: including even non-significant random effects?   Laura Suttle
• [R-sig-ME] using gnls in nlme package to model negative spatial autocorrelation?   Seth Myers
• [R-sig-ME] GLS, as.formula and subsitute   Christoph Scherber
• [R-sig-ME] GLS, as.formula and subsitute   Emmanuel Curis
• [R-sig-ME] GLS, as.formula and subsitute   Sven Hohenstein
• [R-sig-ME] Properly dealing with study design   Tom Bishop
• [R-sig-ME] Fwd: Mixed model with nested random effect and repeated measures   Diogo B. Provete
• [R-sig-ME] R-sig-mixed-models Digest, Vol 77, Issue 11   Volker Dellwo
• [R-sig-ME] MCMCglmm with datasets of different lengths   Volker Dellwo
• [R-sig-ME] Properly dealing with study design   Ludovico Frate
• [R-sig-ME] hurdle models   Matias Ledesma
• [R-sig-ME] R-sig-mixed-models Digest, Vol 77, Issue 11   Jake Westfall
• [R-sig-ME] R-sig-mixed-models Digest, Vol 77, Issue 11   Douglas Bates
• [R-sig-ME] hurdle models   Mark Greenaway
• [R-sig-ME] hurdle models   Mark Greenaway
• [R-sig-ME] p-value for fixed factor in lmer   Volker Dellwo
• [R-sig-ME] p-value for fixed factor in lmer   Jonathan Baron
• [R-sig-ME] p-value for fixed factor in lmer   Philippi, Tom
• [R-sig-ME] p-value for fixed factor in lmer   lborger
• [R-sig-ME] p-value for fixed factor in lmer   robert.espesser at lpl-aix.fr
• [R-sig-ME] p-value for fixed factor in lmer   marKo
• [R-sig-ME] p-value for fixed factor in lmer   Henrik Singmann
• [R-sig-ME] p-value for fixed factor in lmer   Douglas Bates
• [R-sig-ME] [R-sig-Geo] Spatially autocorrelated random effects in logistic regression.   Hugh Sturrock
• [R-sig-ME] hurdle models   Ben Bolker
• [R-sig-ME] searching nlme source code to try turning off range bounds of > 0 for corExp   Seth Myers
• [R-sig-ME] GLM model evaluation   Milos Blagojevic
• [R-sig-ME] Multivariate Response Model in MCMCglmm - Estimating Posterior Correlation Between Traits   Xavier Harrison
• [R-sig-ME] searching nlme source code to try turning off range bounds of > 0 for corExp   Ben Bolker
• [R-sig-ME] slightly OT: SAS help   Ben Bolker
• [R-sig-ME] Problems running lmer   Andrea Goijman
• [R-sig-ME] plots for GLM email sorry   Milos Blagojevic
• [R-sig-ME] slightly OT: SAS help   Baldwin, Jim -FS
• [R-sig-ME] Problems running lmer   Philippi, Tom
• [R-sig-ME] Problems running lmer   Andrea Goijman
• [R-sig-ME] slightly OT: SAS help   Daniel Nordlund
• [R-sig-ME] Problems running lmer   Hugo.Mildenberger at web.de
• [R-sig-ME] multivariate mixed model question   Chaitanya Acharya
• [R-sig-ME] Fixing residual variance in MCMCglmm   Adam Hayward
• [R-sig-ME] Question about Multilevel ZIP model with glmmADMB   Julia Sommerfeld
• [R-sig-ME] slightly OT: SAS help   Steve Denham
• [R-sig-ME] previous posts about error message in glmmADMB   Julia Sommerfeld
• [R-sig-ME] previous posts about error message in glmmADMB   Ben Bolker
• [R-sig-ME] previous posts about error message in glmmADMB   Julia Sommerfeld
• [R-sig-ME] multivariate MCMCglmm problem   Thomas Merkling
• [R-sig-ME] Enc: getting residuals from model averaging   Filipe Carvalho
• [R-sig-ME] multivariate MCMCglmm problem   Raphael Royaute
• [R-sig-ME] categorical random effects correlation in lme4   Andrew McAleavey
• [R-sig-ME] previous posts about error message in glmmADMB   Ben Bolker
• [R-sig-ME] Inference from glmmadmb output - bayesian inference not possible?   Julia Sommerfeld
• [R-sig-ME] categorical random effects correlation in lme4   Malcolm Fairbrother
• [R-sig-ME] multivariate MCMCglmm problem   David Duffy
• [R-sig-ME] categorical random effects correlation in lme4   Henrik Singmann
• [R-sig-ME] previous posts about error message in glmmADMB   Julia Sommerfeld
• [R-sig-ME] categorical random effects correlation in lme4   Andrew McAleavey
• [R-sig-ME] "contrasts apply only to factors" in post-hoc analysis afer lmer fitting   Helios de Rosario
• [R-sig-ME] categorical random effects correlation in lme4   Malcolm Fairbrother
• [R-sig-ME] categorical random effects correlation in lme4   Andrew McAleavey
• [R-sig-ME] zero-inflated models with spatial autocorrelation   Ricardo Lima
• [R-sig-ME] zero-inflated models with spatial autocorrelation   Ben Bolker
• [R-sig-ME] categorical random effects correlation in lme4   Henrik Singmann
• [R-sig-ME] categorical random effects correlation in lme4   Henrik Singmann
• [R-sig-ME] zero-inflated models with spatial autocorrelation   Ricardo Lima
• [R-sig-ME] Subject: Re: zero-inflated models with spatial autocorrelation   robert bagchi
• [R-sig-ME] MCMCglmm different random effects specifications   Ian Cleasby
• [R-sig-ME] zero-inflated models with spatial autocorrelation   Malcolm Fairbrother
• [R-sig-ME] Error in glmmADMB   Boris Berkhout
• [R-sig-ME] Testing for differences in random effects between two groups   Stephen T
• [R-sig-ME] Error in glmmADMB   Ben Bolker
• [R-sig-ME] request   Champika Shyamalie Kariyawasam
• [R-sig-ME] Duplicating SAS Proc HPMixed results in lme 4 and lmerTest   Price, Josh
• [R-sig-ME] Duplicating SAS Proc HPMixed results in lme 4 and lmerTest   lborger
• [R-sig-ME] Duplicating SAS Proc HPMixed results in lme 4 and lmerTest   Price, Josh
• [R-sig-ME] Duplicating SAS Proc HPMixed results in lme 4 and lmerTest   lborger
• [R-sig-ME] Testing for differences in random effects between two groups   Stephen T
• [R-sig-ME] request   Seth Bigelow
• [R-sig-ME] Error in glmmADMB   Ben Bolker
• [R-sig-ME] Design Matrix for Random effects   W Robert Long
• [R-sig-ME] Design Matrix for Random effects   Steve Walker
• [R-sig-ME] Design Matrix for Random effects   W Robert Long
• [R-sig-ME] request   Steven McKinney
• [R-sig-ME] request   David Winsemius
• [R-sig-ME] Design Matrix for Random effects   Henrik Singmann
• [R-sig-ME] MCMCglmm bivariate random regression   Adam Hayward
• [R-sig-ME] Duplicating SAS Proc HPMixed results in lme 4 and lmerTest   Douglas Bates
• [R-sig-ME] Duplicating SAS Proc HPMixed results in lme 4 and lmerTest   Price, Josh
• [R-sig-ME] random slope models with several terms with the same grouping variable   Hans Ekbrand
• [R-sig-ME] Separating random effects variance for two groups   Stephen T
• [R-sig-ME] random slope models with several terms with the same grouping variable   Hans Ekbrand
• [R-sig-ME] Confidence intervals in GAMM4   Rodrigo Tardin
• [R-sig-ME] LMER False Convergence (8)   Daniel Anderson
• [R-sig-ME] help with simulations   Chaitanya Acharya
• [R-sig-ME] LMER False Convergence (8)   Ben Bolker
• [R-sig-ME] LMER False Convergence (8)   Daniel Anderson
• [R-sig-ME] three-levels of nesting in poisson mixed effect regression?   Rzhetsky, Andrey [BSD] - MED
• [R-sig-ME] LMER False Convergence (8)   Ben Bolker
• [R-sig-ME] help with simulations   Chaitanya Acharya
• [R-sig-ME] Design Matrix for Random effects   Ben Bolker
• [R-sig-ME] LMER False Convergence (8)   Daniel Anderson
• [R-sig-ME] LMER False Convergence (8)   Ben Bolker
• [R-sig-ME] LMER False Convergence (8)   Daniel Anderson
• [R-sig-ME] three-levels of nesting in poisson mixed effect regression?   Rzhetsky, Andrey [BSD] - MED
• [R-sig-ME] three-levels of nesting in poisson mixed effect regression?   Rzhetsky, Andrey [BSD] - MED
• [R-sig-ME] LMER False Convergence (8)   Ben Bolker
• [R-sig-ME] MCMCglmm evaluates distributions differently for different orderings of (unordered) response variables   Christoph Terwitte
• [R-sig-ME] issues with weights in glmer (or glmmADMB)   Joshua Wiley
• [R-sig-ME] MCMCglmm and left-censored data   Anders Bjerring Strathe
• [R-sig-ME] issues with weights in glmer (or glmmADMB)   ONKELINX, Thierry
• [R-sig-ME] three-levels of nesting in poisson mixed effect regression?   ONKELINX, Thierry
• [R-sig-ME] Piecewise regression/threshold models   spatrick
• [R-sig-ME] MCMCglmm and left-censored data   Jarrod Hadfield
• [R-sig-ME] issues with weights in glmer (or glmmADMB)   Joshua Wiley
• [R-sig-ME] MCMCglmm evaluates distributions differently for different orderings of (unordered) response variables   Jarrod Hadfield
• [R-sig-ME] MCMCglmm bivariate random regression   Jarrod Hadfield
• [R-sig-ME] MCMCglmm different random effects specifications   Jarrod Hadfield
• [R-sig-ME] MCMCglmm different random effects specifications   Jarrod Hadfield
• [R-sig-ME] Multivariate Response Model in MCMCglmm - Estimating Posterior Correlation Between Traits   Jarrod Hadfield
• [R-sig-ME] MCMCglmm and estimated breeding values   Jarrod Hadfield
• [R-sig-ME] issues with weights in glmer (or glmmADMB) [SEC=UNCLASSIFIED]   Steve Candy
• [R-sig-ME] Autocorrelation in a GAMM for nightly time series   Andrew Digby
• [R-sig-ME] Mixed effects model with a distance matrix as a random effect   Roey Angel
• [R-sig-ME] Negative Variance   Callie Baird
• [R-sig-ME] Mixed effects model with a distance matrix as a random effect   Jonas Klasen
• [R-sig-ME] issues with weights in glmer (or glmmADMB) [SEC=UNCLASSIFIED]   Ben Bolker
• [R-sig-ME] Negative Variance   Ben Bolker
• [R-sig-ME] Negative Variance   Douglas Bates
• [R-sig-ME] Negative Variance   Jarrod Hadfield
• [R-sig-ME] Negative Variance   Callie Baird
• [R-sig-ME] Negative Variance   Ben Bolker
• [R-sig-ME] Mixed effects model with a distance matrix as a random effect   Steven J. Pierce
• [R-sig-ME] nlme: varIdent   D Gill
• [R-sig-ME] Maximal specification of random effects   Han-Gyol Yi
• [R-sig-ME] Negative Variance   Ben Bolker
• [R-sig-ME] issues with weights in glmer (or glmmADMB) [SEC=UNCLASSIFIED]   Ben Bolker
• [R-sig-ME] Negative Variance   laurent stephane
• [R-sig-ME] Negative Variance   laurent stephane
• [R-sig-ME] Maximal specification of random effects   Malcolm Fairbrother
• [R-sig-ME] Negative Variance   Ryan King
• [R-sig-ME] Negative Variance   John Maindonald
• [R-sig-ME] Re: issues with weights in glmer (or glmmADMB) [SEC=UNCLASSIFIED]   Steve Candy
• [R-sig-ME] fitting glmer after using doFit=FALSE   Samuel Bussmann
• [R-sig-ME] Negative Variance   Ben Bolker
• [R-sig-ME] nlme: varIdent   Ben Bolker
• [R-sig-ME] Autocorrelation in a GAMM for nightly time series   Ben Bolker
• [R-sig-ME] Negative Variance   John Maindonald
• [R-sig-ME] Question Regarding model Fit in lme4 package   Armenak ANTINYAN
• [R-sig-ME] Application of coxme   davidcostantini at libero.it
• [R-sig-ME] Application of coxme   Jonas Klasen
• [R-sig-ME] fitting glmer after using doFit=FALSE   Ben Bolker
• [R-sig-ME] Confidence intervals in GAMM4   Gavin Simpson
• [R-sig-ME] Mixed Effects Model   Stephen Sefick
• [R-sig-ME] Autocorrelation in a GAMM for nightly time series   Andrew Digby
• [R-sig-ME] Mixed Effects Model   ONKELINX, Thierry
• [R-sig-ME] Autocorrelation in a GAMM for nightly time series   Gavin Simpson
• [R-sig-ME] Maximal specification of random effects   Han-Gyol Yi
• [R-sig-ME] Maximal specification of random effects   Geoff Brookshire
• [R-sig-ME] Mixed Effects Model   Stephen Sefick
• [R-sig-ME] Maximal specification of random effects   Han-Gyol Yi
• [R-sig-ME] Autocorrelation in a GAMM for nightly time series   Andrew Digby
• [R-sig-ME] TukeyHSD after lmer repeated measures   Stephen Sefick
• [R-sig-ME] Mixed Effects Model   ONKELINX, Thierry
• [R-sig-ME] MCMCglmm bivariate model - among individual covariance   Matthew Gifford
• [R-sig-ME] TukeyHSD after lmer repeated measures   Gavin Simpson
• [R-sig-ME] How to analyze a 2x2 crossover with baseline in R?   Emmanuel Curis
• [R-sig-ME] How to analyze a 2x2 crossover with baseline in R?   Ben Bolker
• [R-sig-ME] Confidence intervals in GAMM4   Rodrigo Tardin
• [R-sig-ME] Confidence intervals in GAMM4   Gavin Simpson
• [R-sig-ME] Confidence intervals in GAMM4   Joshua Wiley
• [R-sig-ME] How to analyze a 2x2 crossover with baseline in R?   Emmanuel Curis
• [R-sig-ME] Heteroscedasticity, lme4 and nlme   Jennifer Bufford
• [R-sig-ME] Confidence intervals in GAMM4   Highland Statistics Ltd
• [R-sig-ME] conceptualizing items + subject analysis   Bob Wiley
• [R-sig-ME] Heteroscedasticity, lme4 and nlme   Ben Bolker
• [R-sig-ME] MLWIN in R_error message_Error in read.dta(IGLSfile): unable to open file: 'No such file or directory'   Andrew McFadden (Andy)
• [R-sig-ME] MLWIN in R_errormessage_Error in read.dta(IGLSfile): unable to open file: 'No such file or directory'   Ben Bolker
• [R-sig-ME] conceptualizing items + subject analysis   Jonathan Baron
• [R-sig-ME] conceptualizing items + subject analysis   Jake Westfall
• [R-sig-ME] Psychometric curves with glmm   Donald Edward Frederick
• [R-sig-ME] conceptualizing items + subject analysis   Bob Wiley
• [R-sig-ME] GAMM and GLMM for time to event data   John.Morrongiello at csiro.au
• [R-sig-ME] Psychometric curves with glmm   Ken Knoblauch
• [R-sig-ME] Logistic Regression for Matched Case-Control Data   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Logistic Regression for Matched Case-Control Data   Ben Bolker
• [R-sig-ME] varying intercept and varying slope models   Ross Ahmed
• [R-sig-ME] varying intercept and varying slope models   Douglas Bates
• [R-sig-ME] varying intercept and varying slope models   Douglas Bates
• [R-sig-ME] Parameter expansion with MCMCglmm   Nate Fronk
• [R-sig-ME] Interpretation of random slope in gamm   Jaime Otero Villar
• [R-sig-ME] Logistic Regression for Matched Case-Control Data   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] making inferences about overdispersion in nbinom glmmabmb   Paul Johnson
• [R-sig-ME] making inferences about overdispersion in nbinom glmmabmb   Joshua Wiley
• [R-sig-ME] New book: Beginner's Guide to GLM and GLMM with R   Highland Statistics Ltd
• [R-sig-ME] making inferences about overdispersion in nbinom glmmabmb   Paul Johnson
• [R-sig-ME] making inferences about overdispersion in nbinom glmmabmb   Joshua Wiley
• [R-sig-ME] making inferences about overdispersion in nbinom glmmabmb   Highland Statistics Ltd
• [R-sig-ME] Parameter expansion with MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Parameter expansion with MCMCglmm   Jarrod Hadfield
• [R-sig-ME] MCMCglmm models stored as elements in a list   Frazer Sinclair
• [R-sig-ME] MCMCglmm models stored as elements in a list   Sven Hohenstein
• [R-sig-ME] MCMCglmm models stored as elements in a list   Andreas Karpf
• [R-sig-ME] standardized parameter estimates in random regression model   tommy gaillard
• [R-sig-ME] standardized parameter estimates in random regression model   Ben Bolker
• [R-sig-ME] standardized parameter estimates in random regression model   tommy gaillard
• [R-sig-ME] nlme package nonlinear mixed model error when fitting only fixed effects   Brenda Chang
• [R-sig-ME] Multinomial Outcomes   Baggett, Aaron
• [R-sig-ME] Multinomial Outcomes   Andreas Karpf
• [R-sig-ME] Multinomial Outcomes   espesser
• [R-sig-ME] Fwd: nlme package nonlinear mixed model errors - fixed effects only   Brenda Chang
• [R-sig-ME] Bug in anova.mer with models in a list (CRAN lme4 and lme4.0 only)   Henrik Singmann
• [R-sig-ME] Comparing random effects with exactRLRT   James Grecian
• [R-sig-ME] LME - varComb and varIdent   Friso Muijsers
• [R-sig-ME] LME - varComb and varIdent   Friso Muijsers
• [R-sig-ME] Assessing between-individual differences in both intercept and slope of variable factors   tommy gaillard
• [R-sig-ME] standard error of random effects variance   Thomas Debray
• [R-sig-ME] prediction and online learning   Grace, Justin
• [R-sig-ME] standard error of random effects variance   tommy gaillard
• [R-sig-ME] standard error of random effects variance   Thomas Debray
• [R-sig-ME] Model validation for Presence / Absence (binomial) GLMs   Mark Payne
• [R-sig-ME] Model validation for Presence / Absence (binomial) GLMs   Hugh Sturrock
• [R-sig-ME] Model validation for Presence / Absence (binomial) GLMs   Mark Payne
• [R-sig-ME] Model validation for Presence / Absence (binomial) GLMs   Chris Howden
• [R-sig-ME] Model validation for Presence / Absence (binomial) GLMs   Ben Bolker
• [R-sig-ME] Model validation for Presence / Absence (binomial) GLMs   Ken Knonlauch
• [R-sig-ME] Beware flying pigs   Ben Bolker
• [R-sig-ME] Question on mixed model design to analyze microarray data   Tom Wenseleers
• [R-sig-ME] Question on mixed model design to analyze microarray data   Ben Bolker
• [R-sig-ME] partial residuals or another method to check nonlinear model spec.? (emails keep bouncing)   Seth Myers

Last message date: Sun Jun 30 19:56:27 CEST 2013
Archived on: Sun Jun 30 19:56:39 CEST 2013

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