Second quarter 2016 Archives by subject

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Starting: Sat Apr 2 21:23:26 CEST 2016
Ending: Thu Jun 30 18:40:02 CEST 2016
Messages: 296

• [R-sig-ME] (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate   Philipp Singer
• [R-sig-ME] (no) significance value (gl)mer   Ben Pelzer
• [R-sig-ME] (no) significance value (gl)mer   Mollie Brooks
• [R-sig-ME] (no) significance value (gl)mer   Marko Bachl
• [R-sig-ME] (no) significance value (gl)mer   Ben Bolker
• [R-sig-ME] (no) significance value (gl)mer   Ben Bolker
• [R-sig-ME] (no) significance value (gl)mer   Ben Pelzer
• [R-sig-ME] Adelaide course: Introduction to mixed modelling   Highland Statistics Ltd
• [R-sig-ME] Advice for analysis of biological data - Mixed model or NESTED-Anova?   Savani Anbalagan
• [R-sig-ME] Advice for analysis of biological data - Mixed model or NESTED-Anova?   Evan Palmer-Young
• [R-sig-ME] Advice for analysis of biological data - Mixed model or NESTED-Anova?   Savani Anbalagan
• [R-sig-ME] Advice for analysis of biological data - Mixed model or NESTED-Anova?   Evan Palmer-Young
• [R-sig-ME] Analyzing evolution of resistance   Evan Palmer-Young
• [R-sig-ME] assessing GLMM fixed- and random-effects for their relative importances (dominance analysis, variation partitioning etc.)   Thomas Mang
• [R-sig-ME] Combination of glmnet-like covariate selection with mixed modeling   Hunsicker, Lawrence
• [R-sig-ME] Combination of glmnet-like covariate selection with mixed modeling   Ben Bolker
• [R-sig-ME] Comparing mixed models   Carlos Barboza
• [R-sig-ME] Comparing mixed models   Ben Bolker
• [R-sig-ME] Comparing mixed models   Carlos Barboza
• [R-sig-ME] Comparing mixed models   Alex Fine
• [R-sig-ME] Comparing mixed models   Jean-Philippe Laurenceau
• [R-sig-ME] Comparing mixed models   Alex Fine
• [R-sig-ME] Comparing mixed models   Paul Debes
• [R-sig-ME] Comparing mixed models   John Maindonald
• [R-sig-ME] Comparing mixed models   Paul Debes
• [R-sig-ME] Comparing mixed models   Thierry Onkelinx
• [R-sig-ME] Complex model yields similar results to simpler model, but also warnings: can I ignore them?   Thierry Onkelinx
• [R-sig-ME] Complex model yields similar results to simpler model, but also warnings: can I ignore them?   Jackie Wood
• [R-sig-ME] Convergence Problems with glmer.nb model   Aoibheann Gaughran
• [R-sig-ME] Convergence Problems with glmer.nb model   Thierry Onkelinx
• [R-sig-ME] Convergence Problems with glmer.nb model   Aoibheann Gaughran
• [R-sig-ME] Convergence Problems with glmer.nb model   Thierry Onkelinx
• [R-sig-ME] Convergence Problems with glmer.nb model   Aoibheann Gaughran
• [R-sig-ME] Convergence Problems with glmer.nb model   Thierry Onkelinx
• [R-sig-ME] Convergence Problems with glmer.nb model   Ben Bolker
• [R-sig-ME] Course: Introduction to Zero Inflated Models   Highland Statistics Ltd
• [R-sig-ME] Dear nlme-authors   진희진
• [R-sig-ME] design matrix for R2   Rob Griffin
• [R-sig-ME] design matrix for R2   Ben Bolker
• [R-sig-ME] Details control options for glmmADMB   Fraixedas, Sara
• [R-sig-ME] Details control options for glmmADMB   Ben Bolker
• [R-sig-ME] Does changing the reference level cause any difference in results?   Saudi Sadiq
• [R-sig-ME] Does changing the reference level cause any difference in results?   Dan McCloy
• [R-sig-ME] Does changing the reference level cause any difference in results?   Saudi Sadiq
• [R-sig-ME] e-book   王睿
• [R-sig-ME] e-book   Jeff Newmiller
• [R-sig-ME] e-book   Douglas Bates
• [R-sig-ME] ENQUIRY: independent slopes of categorical effects in a random-effects   Blything, Liam
• [R-sig-ME] extract level 2 residuals of merMod from lme() and test for spatial autocorrelation.   Dexter Locke
• [R-sig-ME] extract level 2 residuals of merMod from lme() and test for spatial autocorrelation.   Ben Bolker
• [R-sig-ME] extract level 2 residuals of merMod from lme() and test for spatial autocorrelation.   Dexter Locke
• [R-sig-ME] extract level 2 residuals of merMod from lme() and test for spatial autocorrelation.   Ben Bolker
• [R-sig-ME] extract level 2 residuals of merMod from lme() and test for spatial autocorrelation.   Malcolm Fairbrother
• [R-sig-ME] Fitting interaction term in GAMM with random effect   Samantha Cox
• [R-sig-ME] Fwd: [R] model specification using lme   li li
• [R-sig-ME] Fwd: linear model selection analysis   Harriet Jamieson
• [R-sig-ME] Fwd: linear model selection analysis   Jarrod Hadfield
• [R-sig-ME] Fwd: Question of Chile   Alejandra Tapia
• [R-sig-ME] glmer error   André Luis Neves
• [R-sig-ME] glmer vs glmmPQL vs glmmadmb   Magdalena Wiedermann
• [R-sig-ME] glmer vs glmmPQL vs glmmadmb   Ben Bolker
• [R-sig-ME] glmer vs glmmPQL vs glmmadmb   Magdalena Wiedermann
• [R-sig-ME] GLMM, overdispersion, and method for comparing competetive models   Chad Newbolt
• [R-sig-ME] GLMM, overdispersion, and method for comparing competetive models   Ben Bolker
• [R-sig-ME] GLMM, overdispersion, and method for comparing competetive models   Chad Newbolt
• [R-sig-ME] GLMM, overdispersion, and method for comparing competetive models   Chad Newbolt
• [R-sig-ME] GLMM, overdispersion, and method for comparing competetive models   Chad Newbolt
• [R-sig-ME] GLMM, overdispersion, and method for comparing competetive models   Philipp Singer
• [R-sig-ME] GLMM: tricking software to estimate normal error at lower level   Paul Johnson
• [R-sig-ME] GLMM: tricking software to estimate normal error at lower level   Ben Bolker
• [R-sig-ME] GLMM: tricking software to estimate normal error at lower level   Jarrod Hadfield
• [R-sig-ME] glmmADMB fails to fit poisson data   Vladimir Trifonov
• [R-sig-ME] glmmADMB fails to fit poisson data   Ben Bolker
• [R-sig-ME] glmmADMB fails to fit poisson data   John Maindonald
• [R-sig-ME] glmmADMB fails to fit poisson data   Ben Bolker
• [R-sig-ME] glmmADMB fails to fit poisson data   John Maindonald
• [R-sig-ME] glmmADMB fails to fit poisson data   dave fournier
• [R-sig-ME] glmmADMB fails to fit poisson data   dave fournier
• [R-sig-ME] glmmADMB fails to fit poisson data   Ben Bolker
• [R-sig-ME] glmmADMB fails to fit poisson data   dave fournier
• [R-sig-ME] GLMM estimation readings?   Paul Johnson
• [R-sig-ME] GLMM estimation readings?   Malcolm Fairbrother
• [R-sig-ME] GLMM estimation readings?   Douglas Bates
• [R-sig-ME] GLMM Model   Djouher Gaad
• [R-sig-ME] GLMM Model   Thierry Onkelinx
• [R-sig-ME] Help with MCMC fitting in R   Janelle Sylvester
• [R-sig-ME] Help with MCMC fitting in R   Ben Bolker
• [R-sig-ME] help with mixed modeling   Daniel Cher
• [R-sig-ME] How can I know if I have enough data for a complex random slopes model?   David Villegas Ríos
• [R-sig-ME] How can I know if I have enough data for a complex random slopes model?   Philip Harrison
• [R-sig-ME] How o treat time when using stocks and a growth model (longitudinal data)   Carolina Magda Roma
• [R-sig-ME] How o treat time when using stocks and a growth model (longitudinal data)   Ben Bolker
• [R-sig-ME] How sinful is it to...   David Sidhu
• [R-sig-ME] How sinful is it to...   Ben Bolker
• [R-sig-ME] How to fix individual elements of the residual covariance matrix in MCMCglmm   r_1470
• [R-sig-ME] How to fix individual elements of the residual covariance matrix in MCMCglmm (r_1470)   claudia.kasper at iee.unibe.ch
• [R-sig-ME] ICC estimates for overdispersed proportion or count data   Sophie Picq
• [R-sig-ME] Interpreting fixed effects of mcmcglmm interaction and randomisation   Rob Griffin
• [R-sig-ME] Interpreting fixed effects of mcmcglmm interaction and randomisation   Jarrod Hadfield
• [R-sig-ME] Interpreting fixed effects of mcmcglmm interaction and randomisation   Rob Griffin
• [R-sig-ME] Intro GAM and GAMM course: Singapore   Highland Statistics Ltd
• [R-sig-ME] Is multi-level modelling applicable to crossed designs?   bernhard.voelkl at vetsuisse.unibe.ch
• [R-sig-ME] Is multi-level modelling applicable to crossed designs?   Douglas Bates
• [R-sig-ME] Is multi-level modelling applicable to crossed designs?   Steven J. Pierce
• [R-sig-ME] Justification to exclude random effect   Reuben Smit
• [R-sig-ME] Justification to exclude random effect   Baldwin, Jim -FS
• [R-sig-ME] Justification to exclude random effect   Reuben Smit
• [R-sig-ME] Leave list   Christopher Baker
• [R-sig-ME] Leave list   Ben Bolker
• [R-sig-ME] lme4 observation level effects with indicator   Tiffany Vidal
• [R-sig-ME] lme4 observation level effects with indicator   Thierry Onkelinx
• [R-sig-ME] lme4 observation level effects with indicator   Tiffany Vidal
• [R-sig-ME] lme4 observation level effects with indicator   Thierry Onkelinx
• [R-sig-ME] lme function - fixed sigma - inconsistent results with sae and proc mixed results   Maciej Beręsewicz
• [R-sig-ME] lme function - fixed sigma - inconsistent results with sae and proc mixed results   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] lme function - fixed sigma - inconsistent results with sae and proc mixed results   Maciej Beresewicz
• [R-sig-ME] lme function - fixed sigma - inconsistent results with sae and proc mixed results   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] lmer() fit   Chaitanya Acharya
• [R-sig-ME] lmer() fit   Ben Bolker
• [R-sig-ME] lmer() fit   Ben Pelzer
• [R-sig-ME] lmer confint() bootstrap doesn't match fitted values when weighted   Rodrigo Travitzki
• [R-sig-ME] lmer confint() bootstrap doesn't match fitted values when weighted   Ben Bolker
• [R-sig-ME] lme with cyclic cubic regression splines   Gabriela Czanner
• [R-sig-ME] lme with cyclic cubic regression splines   Alexandre Villers
• [R-sig-ME] lme with cyclic cubic regression splines   Ben Bolker
• [R-sig-ME] Longitudinal covariation parameter estimate does not match average association over time   Matthew Boden
• [R-sig-ME] Longitudinal covariation parameter estimate does not match average association over time   Thierry Onkelinx
• [R-sig-ME] Longitudinal covariation parameter estimate does not match average association over time   Ben Pelzer
• [R-sig-ME] Longitudinal covariation parameter estimate does not match average association over time   Ben Pelzer
• [R-sig-ME] Longitudinal covariation parameter estimate does not match average association over time   Matthew Boden
• [R-sig-ME] Longitudinal covariation parameter estimate does not match average association over time   Matthew Boden
• [R-sig-ME] LRT significant but new variable's beta not   Clara Neudecker
• [R-sig-ME] LRT significant but new variable's beta not   Alex Fine
• [R-sig-ME] LRT significant but new variable's beta not   Thompson,Paul
• [R-sig-ME] LRT significant but new variable's beta not   Ben Bolker
• [R-sig-ME] LRT significant but new variable's beta not   Ben Bolker
• [R-sig-ME] MCMCglmm: how are the predictions computed (conditional and marginal)?   Joelle Mbatchou
• [R-sig-ME] MCMCglmm interpretation with contrast coding and multinomial IVs and DV   Adriana Guevara Rukoz
• [R-sig-ME] mismatch between R lme and SPSS mixed model   Mengni Zhang
• [R-sig-ME] mismatch between R lme and SPSS mixed model   Julio Alejandro Di Rienzo
• [R-sig-ME] Mixed Effects Models to compare different testing sites   Matthew Brain
• [R-sig-ME] Mixed Effects Models to compare different testing sites   Thierry Onkelinx
• [R-sig-ME] Mixed modelling course in Sydney   Highland Statistics Ltd
• [R-sig-ME] mixed mutlinomial regression for count data with, overdisperion & zero-inflation   Highland Statistics Ltd
• [R-sig-ME] mixed mutlinomial regression for count data with, overdisperion & zero-inflation   Stéphanie Périquet
• [R-sig-ME] mixed mutlinomial regression for count data with, overdisperion & zero-inflation   Highland Statistics Ltd
• [R-sig-ME] mixed mutlinomial regression for count data with, overdisperion & zero-inflation   Stéphanie Périquet
• [R-sig-ME] mixed mutlinomial regression for count data with, overdisperion & zero-inflation   Highland Statistics Ltd
• [R-sig-ME] mixed mutlinomial regression for count data with, overdisperion & zero-inflation   Stéphanie Périquet
• [R-sig-ME] mixed mutlinomial regression for count data with, overdisperion & zero-inflation   dave fournier
• [R-sig-ME] mixed mutlinomial regression for count data with, overdisperion & zero-inflation   dave fournier
• [R-sig-ME] mixed mutlinomial regression for count data with, overdisperion & zero-inflation   Stéphanie Périquet
• [R-sig-ME] mixed mutlinomial regression for count data with, overdisperion & zero-inflation   dave fournier
• [R-sig-ME] Mixed mutlinomial regression for count data with overdisperion & zero-inflation   Stéphanie Périquet
• [R-sig-ME] Mixed mutlinomial regression for count data with overdisperion & zero-inflation   Ben Bolker
• [R-sig-ME] Mixed mutlinomial regression for count data with overdisperion & zero-inflation   Stéphanie Périquet
• [R-sig-ME] multcomp package   li li
• [R-sig-ME] multcomp package   Evan Palmer-Young
• [R-sig-ME] multcomp package   li li
• [R-sig-ME] multcomp package   RuiRui
• [R-sig-ME] na.action in lmer()   Ravi Varadhan
• [R-sig-ME] na.action in lmer()   Ben Bolker
• [R-sig-ME] na.action in lmer()   Ravi Varadhan
• [R-sig-ME] Negative Binomial in glmmadmb   Chad Newbolt
• [R-sig-ME] nested two level mixed model with lmer   Cristina Muschitiello
• [R-sig-ME] nested two level mixed model with lmer   Thierry Onkelinx
• [R-sig-ME] nesting hierarchy in glmer   Hariet Rose
• [R-sig-ME] nesting hierarchy in glmer   Thierry Onkelinx
• [R-sig-ME] New book: Beginner's Guide to Zero-Inflated Models with R   Highland Statistics Ltd
• [R-sig-ME] On what basis one of the predictors/fixed factors should be included in a random slope model?   Saudi Sadiq
• [R-sig-ME] On what basis one of the predictors/fixed factors should be included in a random slope model?   Alex Fine
• [R-sig-ME] On what basis one of the predictors/fixed factors should be included in a random slope model?   Saudi Sadiq
• [R-sig-ME] ordinal model and lsmeans mean class computing   espesser
• [R-sig-ME] ordinal model and lsmeans mean class computing   Lenth, Russell V
• [R-sig-ME] Orthogonal vs. Non-orthogonal contrasts   Yasuaki SHINOHARA
• [R-sig-ME] Orthogonal vs. Non-orthogonal contrasts   Thierry Onkelinx
• [R-sig-ME] Orthogonal vs. Non-orthogonal contrasts   Yasuaki SHINOHARA
• [R-sig-ME] Orthogonal vs. Non-orthogonal contrasts   Thierry Onkelinx
• [R-sig-ME] Orthogonal vs. Non-orthogonal contrasts   Yasuaki SHINOHARA
• [R-sig-ME] Orthogonal vs. Non-orthogonal contrasts   Thierry Onkelinx
• [R-sig-ME] Orthogonal vs. Non-orthogonal contrasts   Yasuaki SHINOHARA
• [R-sig-ME] Output and post-hoc comparisons for lme with splines specification of fixed effects   Gabriela Czanner
• [R-sig-ME] Output and post-hoc comparisons for lme with splines specification of fixed effects   Lenth, Russell V
• [R-sig-ME] Output and post-hoc comparisons for lme with splines specification of fixed effects   Cole, Tim
• [R-sig-ME] Overdispersion and R2 in GLMM   Teresa Oliveira
• [R-sig-ME] P-values from interaction terms using lme4   Sam Hardman [sah74]
• [R-sig-ME] P-values from interaction terms using lme4   Phillip Alday
• [R-sig-ME] P-values from interaction terms using lme4   Alex Fine
• [R-sig-ME] P-values from interaction terms using lme4   Sam Hardman [sah74]
• [R-sig-ME] P-values from interaction terms using lme4   Sam Hardman [sah74]
• [R-sig-ME] Population weights in a Poisson model with overdispersion   Theodore Lytras
• [R-sig-ME] Population weights in a Poisson model with overdispersion   Thierry Onkelinx
• [R-sig-ME] problem extracting main effects from an updated glmm   Mariano Devoto
• [R-sig-ME] problem extracting main effects from an updated glmm   Ben Bolker
• [R-sig-ME] problem extracting main effects from an updated glmm   Fox, John
• [R-sig-ME] problem extracting main effects from an updated glmm   Lenth, Russell V
• [R-sig-ME] question   Arvid Sjölander
• [R-sig-ME] Question about GLMM and overdispersed data   Chad Newbolt
• [R-sig-ME] Question about GLMM and overdispersed data   Thierry Onkelinx
• [R-sig-ME] question about predict using lme4   Li, Xiaoma [GE AT]
• [R-sig-ME] question about predict using lme4   Lionel
• [R-sig-ME] Question about random effects   Adriana Maldonado Chaparro
• [R-sig-ME] Question about random effects   Thierry Onkelinx
• [R-sig-ME] Question about random effects   Ben Bolker
• [R-sig-ME] Question about random effects   Reinhold Kliegl
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Thierry Onkelinx
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Thierry Onkelinx
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Thierry Onkelinx
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Mollie Brooks
• [R-sig-ME] Question about zero-inflated Poisson glmer   Ben Bolker
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Mollie Brooks
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Ben Bolker
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Thierry Onkelinx
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Thierry Onkelinx
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Thierry Onkelinx
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Thierry Onkelinx
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   Thierry Onkelinx
• [R-sig-ME] Question about zero-inflated Poisson glmer   Philipp Singer
• [R-sig-ME] Question about zero-inflated Poisson glmer   David Duffy
• [R-sig-ME] Question about zero-inflated Poisson glmer   Thierry Onkelinx
• [R-sig-ME] Questions concerning glmmADMB and hurdle model   Thierry Onkelinx
• [R-sig-ME] Random slopes for 2 variables and random intercept for 1 variable   Shadiya Al Hashmi
• [R-sig-ME] Random slopes for 2 variables and random intercept for 1 variable   Thierry Onkelinx
• [R-sig-ME] Random slopes for 2 variables and random intercept for 1 variable   Shadiya Al Hashmi
• [R-sig-ME] Random slopes for 2 variables and random intercept for 1 variable   Thierry Onkelinx
• [R-sig-ME] Random slopes for 2 variables and random intercept for 1 variable   Shadiya Al Hashmi
• [R-sig-ME] Random slopes for 2 variables and random intercept for 1 variable   Thierry Onkelinx
• [R-sig-ME] Random slopes for 2 variables and random intercept for 1 variable   Shadiya Al Hashmi
• [R-sig-ME] R Data sets from data in Stroup's book?   Douglas Bates
• [R-sig-ME] Related fixed and random factors and planned comparisons in a 2x2 design   paul
• [R-sig-ME] Related fixed and random factors and planned comparisons in a 2x2 design   Houslay, Tom
• [R-sig-ME] Related fixed and random factors and planned comparisons in a 2x2 design   paul
• [R-sig-ME] Related fixed and random factors and planned comparisons in a 2x2 design   Houslay, Tom
• [R-sig-ME] Related fixed and random factors and planned comparisons in a 2x2 design   paul
• [R-sig-ME] Related fixed and random factors and planned comparisons in a 2x2 design   Phillip Alday
• [R-sig-ME] Related fixed and random factors and planned comparisons in a 2x2 design   paul
• [R-sig-ME] residual covariance in trivariate MCMCglmm model with different error families   claudia.kasper at iee.unibe.ch
• [R-sig-ME] Residual variance random effect GLMM   Fraixedas, Sara
• [R-sig-ME] Residual variance random effect GLMM   Thierry Onkelinx
• [R-sig-ME] Residual variance random effect GLMM   Fraixedas, Sara
• [R-sig-ME] Residual variance random effect GLMM   Ben Bolker
• [R-sig-ME] Setting start values for log binomial model in glmmPQL   Jennifer Yourkavitch
• [R-sig-ME] Setting start values for log binomial model in glmmPQL   Ben Bolker
• [R-sig-ME] Setting start values for log binomial model in glmmPQL   Thierry Onkelinx
• [R-sig-ME] Setting start values for log binomial model in glmmPQL   Jennifer Yourkavitch
• [R-sig-ME] simulation of factor-specific random effect variance estimation, the order of assigned variance matters?   Chen, Chun
• [R-sig-ME] Species as both fixed and random effect   Liliana D'Alba Altamirano
• [R-sig-ME] Species as both fixed and random effect   Paul Debes
• [R-sig-ME] Specifying Random Effects For Multiple Cross-Level Interactions   David Jones
• [R-sig-ME] Specifying Random Effects For Multiple Cross-Level Interactions   Thierry Onkelinx
• [R-sig-ME] Specifying Random Effects For Multiple Cross-Level Interactions   David Jones
• [R-sig-ME] specify random term and autocorrelation and plot lme   Mathew Vickers
• [R-sig-ME] specify random term and autocorrelation and plot lme   Thierry Onkelinx
• [R-sig-ME] specify random term and autocorrelation and plot lme   Mathew Vickers
• [R-sig-ME] specify random term and autocorrelation and plot lme   Thierry Onkelinx
• [R-sig-ME] Split within-individual and between-individual correlations in a bivariate mixed effects model in nlme package   Thorbjørnsen Susanna Huneide
• [R-sig-ME] Strange predictions from binomial glmm - multi average approach   Quentin Schorpp
• [R-sig-ME] strong effect of prior on residual variance   Rob Griffin
• [R-sig-ME] strong effect of prior on residual variance   Jarrod Hadfield
• [R-sig-ME] strong effect of prior on residual variance   Rob Griffin
• [R-sig-ME] strong effect of prior on residual variance   Jarrod Hadfield
• [R-sig-ME] syntax for random effects for an autocorrelated time series   Steven Orzack
• [R-sig-ME] test spatial autocorrelation of level 2 residuals in lme()   Dexter Locke
• [R-sig-ME] Toeplitz correlation object for nlme   Asher Strauss
• [R-sig-ME] Toeplitz correlation object for nlme   Thierry Onkelinx
• [R-sig-ME] Toeplitz correlation object for nlme   Ben Bolker
• [R-sig-ME] Tweedie GLMM with "cplm" package   Pratyaydipta Rudra
• [R-sig-ME] Using r for multi-level meta-analysis   איציק פרדקין
• [R-sig-ME] Using r for multi-level meta-analysis   Mike Cheung
• [R-sig-ME] Using r for multi-level meta-analysis   Viechtbauer Wolfgang (STAT)
• [R-sig-ME] Using r for multi-level meta-analysis   Mike Cheung
• [R-sig-ME] Why does the log-likelihood ratio test need a larger maxfun?   Zhaohong
• [R-sig-ME] Why does the log-likelihood ratio test need a larger maxfun?   Henrik Singmann
• [R-sig-ME] Why se.fit differ in predict.glm and predict.glmmadmb?   Xandre
• [R-sig-ME] Why se.fit differ in predict.glm and predict.glmmadmb?   Ben Bolker
• [R-sig-ME] Why se.fit differ in predict.glm and predict.glmmadmb?   Xandre
• [R-sig-ME] Why se.fit differ in predict.glm and predict.glmmadmb?   Phillip Alday
• [R-sig-ME] Why se.fit differ in predict.glm and predict.glmmadmb?   Xandre
• [R-sig-ME] Why se.fit differ in predict.glm and predict.glmmadmb?   Ben Bolker
• [R-sig-ME] Why se.fit differ in predict.glm and predict.glmmadmb?   Ben Bolker
• [R-sig-ME] Why se.fit differ in predict.glm and predict.glmmadmb?   Xandre
• [R-sig-ME] ZINB multi-level model using MCMCglmm   MARIA OLGA VIEDMA SILLERO

Last message date: Thu Jun 30 18:40:02 CEST 2016
Archived on: Thu Jun 30 22:21:32 CEST 2016

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