Third quarter 2020 Archives by author

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Starting: Wed Jul 1 03:22:03 CEST 2020
Ending: Wed Sep 30 21:57:23 CEST 2020
Messages: 175

• [R-sig-ME] glmer / MuMin : Error in asMethod(object) : not a positive definite matrix   Guillaume Adeux
• [R-sig-ME] nlme bug ?   Phillip Alday
• [R-sig-ME] nlme bug ?   Phillip Alday
• [R-sig-ME] Statistical significance of random-effects (lme4 or others)   Alday, Phillip
• [R-sig-ME] Statistical significance of random-effects (lme4 or others)   Phillip Alday
• [R-sig-ME] Standard Error of a coef. in a 2-level model vs. 2 OLS models   Phillip Alday
• [R-sig-ME] lmer for IV by design interaction?   Phillip Alday
• [R-sig-ME] Calculating effect sizes of fixed effects in lmer   FAIRS Amie
• [R-sig-ME] Calculating effect sizes of fixed effects in lmer   FAIRS Amie
• [R-sig-ME] Calculating effect sizes of fixed effects in lmer   FAIRS Amie
• [R-sig-ME] lmer for IV by design interaction?   Michelle Ashburner
• [R-sig-ME] Huge speed performance difference when using non-trivial fixed effects in NLMER vs NLME   Ramiro Barrantes
• [R-sig-ME] GLMM hurdle model for continuous data -Truncated negative binomial family in glmmTMB?   Alessandra Bielli
• [R-sig-ME] Level 2 outcome and 'Downdated VtV' error   Matthew Boden
• [R-sig-ME] Downdated VtV error for two level mixed model   Matthew Boden
• [R-sig-ME] Level 2 outcome and 'Downdated VtV' error   Matthew Boden
• [R-sig-ME] Incorrect output from nested model with mapped pars   Ben Bolker
• [R-sig-ME] Incorrect output from nested model with mapped pars   Ben Bolker
• [R-sig-ME] A graphic for Random intercepts via distributions   Ben Bolker
• [R-sig-ME] A graphic for Random intercepts via distributions   Ben Bolker
• [R-sig-ME] Simulating mixed-effects longitudinal logistic data in R   Ben Bolker
• [R-sig-ME] lme4 - Mixed Model question   Ben Bolker
• [R-sig-ME] gls() results for unbalanced data with corStruct correlation class change if Initialize() is called first   Ben Bolker
• [R-sig-ME] gls() results for unbalanced data with corStruct correlation class change if Initialize() is called first   Ben Bolker
• [R-sig-ME] Random slope with cross-level interaction   Ben Bolker
• [R-sig-ME] nlme:lme pseudo-replicate degrees of freedom   Ben Bolker
• [R-sig-ME] Is there a leverage diagnostic test for glmmTMB models?   Ben Bolker
• [R-sig-ME] GLMM hurdle model for continuous data -Truncated negative binomial family in glmmTMB?   Ben Bolker
• [R-sig-ME] Better Scientific Software (BSSw) Fellowship Program   Ben Bolker
• [R-sig-ME] glmer / MuMin : Error in asMethod(object) : not a positive definite matrix   Ben Bolker
• [R-sig-ME] glmer / MuMin : Error in asMethod(object) : not a positive definite matrix   Ben Bolker
• [R-sig-ME] Statistical significance of random-effects (lme4 or others)   Ben Bolker
• [R-sig-ME] glmmTMB, OpenMP and Ubuntu   Ben Bolker
• [R-sig-ME] var(ranef(Random Effect)) not the same as the variance component   Ben Bolker
• [R-sig-ME] var(ranef(Random Effect)) not the same as the variance component   Ben Bolker
• [R-sig-ME] glmmTMB, OpenMP and Ubuntu   Ben Bolker
• [R-sig-ME] Loglik of model with maxfun = 0 is not the one expected   Ben Bolker
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Mollie Brooks
• [R-sig-ME] Help with nested and crossed effects in models with 2- and 3-way interactions   Mollie Brooks
• [R-sig-ME] Help with nested and crossed effects in models with 2- and 3-way interactions   Mollie Brooks
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Sarah Chisholm
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Sarah Chisholm
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Sarah Chisholm
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Sarah Chisholm
• [R-sig-ME] nlme bug ?   Cole, Tim
• [R-sig-ME] nlme bug ?   Cole, Tim
• [R-sig-ME] prior error in mcmcglmm multi-response model   Walid Crampton-Mawass
• [R-sig-ME] glmmTMB: temporal autocorrelation and perfect fit   François DUCHENNE
• [R-sig-ME] Minimum detectable effect size in linear mixed model   Steve Denham
• [R-sig-ME] Setting priors for binary fixed effects   Yannis Dim.
• [R-sig-ME] Setting priors for binary fixed effects   Yannis Dim.
• [R-sig-ME] Interpretation of Posterior distribution produced by MCMCglmm   Yannis Dim.
• [R-sig-ME] var(ranef(Random Effect)) not the same as the variance component   Harold Doran
• [R-sig-ME] var(ranef(Random Effect)) not the same as the variance component   Harold Doran
• [R-sig-ME] var(ranef(Random Effect)) not the same as the variance component   Harold Doran
• [R-sig-ME] Standard Error of a coef. in a 2-level model vs. 2 OLS models   Harold Doran
• [R-sig-ME] Standard Error of a coef. in a 2-level model vs. 2 OLS models   Harold Doran
• [R-sig-ME] CLMM: Calculate ICC & Assessing Model Fit   David Duffy
• [R-sig-ME] FW: CLMM: Calculate ICC & Assessing Model Fit   David Duffy
• [R-sig-ME] novel correlation structure for nlme package, lme function   Edland, Steven
• [R-sig-ME] novel correlation structure for nlme package, lme function   Edland, Steven
• [R-sig-ME] novel correlation structure for nlme package, lme function   Edland, Steven
• [R-sig-ME] nlme:lme pseudo-replicate degrees of freedom   Edland, Steven
• [R-sig-ME] Is there a leverage diagnostic test for glmmTMB models?   John Fox
• [R-sig-ME] Is there a leverage diagnostic test for glmmTMB models?   John Fox
• [R-sig-ME] Predict for glmer   Marc Girondot
• [R-sig-ME] Loglik of model with maxfun = 0 is not the one expected   Marc Girondot
• [R-sig-ME] A graphic for Random intercepts via distributions   Simon Harmel
• [R-sig-ME] A graphic for Random intercepts via distributions   Simon Harmel
• [R-sig-ME] A graphic for Random intercepts via distributions   Simon Harmel
• [R-sig-ME] A graphic for Random intercepts via distributions   Simon Harmel
• [R-sig-ME] Simulating mixed-effects longitudinal logistic data in R   Simon Harmel
• [R-sig-ME] Simulating mixed-effects longitudinal logistic data in R   Simon Harmel
• [R-sig-ME] graphics to show crossed random-effects   Simon Harmel
• [R-sig-ME] graphics to show crossed random-effects   Simon Harmel
• [R-sig-ME] Modeling Residuals vs. Modeling Random-effects Covariances   Simon Harmel
• [R-sig-ME] Statistical significance of random-effects (lme4 or others)   Simon Harmel
• [R-sig-ME] Statistical significance of random-effects (lme4 or others)   Simon Harmel
• [R-sig-ME] Statistical significance of random-effects (lme4 or others)   Simon Harmel
• [R-sig-ME] Statistical significance of random-effects (lme4 or others)   Simon Harmel
• [R-sig-ME] Statistical significance of random-effects (lme4 or others)   Simon Harmel
• [R-sig-ME] var(ranef(Random Effect)) not the same as the variance component   Simon Harmel
• [R-sig-ME] var(ranef(Random Effect)) not the same as the variance component   Simon Harmel
• [R-sig-ME] var(ranef(Random Effect)) not the same as the variance component   Simon Harmel
• [R-sig-ME] var(ranef(Random Effect)) not the same as the variance component   Simon Harmel
• [R-sig-ME] var(ranef(Random Effect)) not the same as the variance component   Simon Harmel
• [R-sig-ME] var(ranef(Random Effect)) not the same as the variance component   Simon Harmel
• [R-sig-ME] cross-level interaction in lme4   Simon Harmel
• [R-sig-ME] Standard Error of a coef. in a 2-level model vs. 2 OLS models   Simon Harmel
• [R-sig-ME] Standard Error of a coef. in a 2-level model vs. 2 OLS models   Simon Harmel
• [R-sig-ME] comparison bet. mixed and ols model (using lme4)   Simon Harmel
• [R-sig-ME] Standard Error of a coef. in a 2-level model vs. 2 OLS models   Simon Harmel
• [R-sig-ME] Standard Error of a coef. in a 2-level model vs. 2 OLS models   Simon Harmel
• [R-sig-ME] Standard Error of a coef. in a 2-level model vs. 2 OLS models   Simon Harmel
• [R-sig-ME] Meaning of Corr of random-effects with a cross-level interaction   Simon Harmel
• [R-sig-ME] Meaning of Corr of random-effects with a cross-level interaction   Simon Harmel
• [R-sig-ME] Drop the correlation bet. random effects to find those with small variance   Simon Harmel
• [R-sig-ME] Bayes generalized linear binomial, logit   Torsten Hauffe
• [R-sig-ME] ONLINE COURSE – Introduction to mixed models using R and Rstudio (IMMR02)   Oliver Hooker
• [R-sig-ME] Bayes generalized linear binomial, logit   Andrew Johnson
• [R-sig-ME] Help with nested and crossed effects in models with 2- and 3-way interactions   Michal Kahn
• [R-sig-ME] Bayes generalized linear binomial, logit   Kornbrot, Diana
• [R-sig-ME] R-sig-mixed-models Digest,Effect sizes   Kornbrot, Diana
• [R-sig-ME] Non-Linear Mixed Effect Model - 4 vs. 3 parameter Sigmoid   Timothy Lau
• [R-sig-ME] Meaning of Corr of random-effects with a cross-level interaction   Robert Long
• [R-sig-ME] Meaning of Corr of random-effects with a cross-level interaction   Robert Long
• [R-sig-ME] Random slope with cross-level interaction   Salahadin Lotfi
• [R-sig-ME] Random slope with cross-level interaction   Salahadin Lotfi
• [R-sig-ME] Online course: Introduction to Regression Models with Spatial Correlation using R-INLA   Highland Statistics Ltd
• [R-sig-ME] Statistical significance of random-effects (lme4 or others)   Daniel Lüdecke
• [R-sig-ME] Calculating effect sizes of fixed effects in lmer   Daniel Lüdecke
• [R-sig-ME] Questions about lme4 package   Daniel Lüdecke
• [R-sig-ME] SAC tests in mixed models   Vinicius Maia
• [R-sig-ME] Is there a leverage diagnostic test for glmmTMB models?   April Martinig
• [R-sig-ME] Random slope with cross-level interaction   Yashree Mehta
• [R-sig-ME] Random slope with cross-level interaction   Yashree Mehta
• [R-sig-ME] mixed model with recapture data   Leandro Rabello Monteiro
• [R-sig-ME] mixed model with recapture data   Leandro Rabello Monteiro
• [R-sig-ME] [EXTERNAL] mixed model with recapture data   Leandro Rabello Monteiro
• [R-sig-ME] gls() results for unbalanced data with corStruct correlation class change if Initialize() is called first   Mychaleckyj, Josyf C (jcm6t)
• [R-sig-ME] Incorrect output from nested model with mapped pars   Christopher Nottingham
• [R-sig-ME] Minimum detectable effect size in linear mixed model   Thierry Onkelinx
• [R-sig-ME] Level 2 outcome and 'Downdated VtV' error   Thierry Onkelinx
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Thierry Onkelinx
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Thierry Onkelinx
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Thierry Onkelinx
• [R-sig-ME] novel correlation structure for nlme package, lme function   Thierry Onkelinx
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Thierry Onkelinx
• [R-sig-ME] graphics to show crossed random-effects   Thierry Onkelinx
• [R-sig-ME] Help with nested and crossed effects in models with 2- and 3-way interactions   Thierry Onkelinx
• [R-sig-ME] Bayes generalized linear binomial, logit   Thierry Onkelinx
• [R-sig-ME] mixed model with recapture data   Thierry Onkelinx
• [R-sig-ME] Meaning of Corr of random-effects with a cross-level interaction   Thierry Onkelinx
• [R-sig-ME] Meaning of Corr of random-effects with a cross-level interaction   Thierry Onkelinx
• [R-sig-ME] Predict for glmer   Thierry Onkelinx
• [R-sig-ME] prior error in mcmcglmm multi-response model   Victor Oribamise
• [R-sig-ME] Statistical significance of random-effects (lme4 or others)   Victor Oribamise
• [R-sig-ME] PCA-GLMM   Philippi, Tom
• [R-sig-ME] [EXTERNAL] mixed model with recapture data   Philippi, Tom
• [R-sig-ME] Calculating effect sizes of fixed effects in lmer   James Pustejovsky
• [R-sig-ME] Minimum detectable effect size in linear mixed model   Patrick (Malone Quantitative)
• [R-sig-ME] Minimum detectable effect size in linear mixed model   Patrick (Malone Quantitative)
• [R-sig-ME] Level 2 outcome and 'Downdated VtV' error   Patrick (Malone Quantitative)
• [R-sig-ME] glmmTMB, OpenMP and Ubuntu   J. Marius RAKOTONDRAMANGA
• [R-sig-ME] Simulating mixed-effects longitudinal logistic data in R   D. Rizopoulos
• [R-sig-ME] var(ranef(Random Effect)) not the same as the variance component   D. Rizopoulos
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Francois Rousset
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Francois Rousset
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Francois Rousset
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Francois Rousset
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Francois Rousset
• [R-sig-ME] spaMM::fitme() - a glmm for longitudinal data that accounts for spatial autocorrelation   Francois Rousset
• [R-sig-ME] CLMM: Calculate ICC & Assessing Model Fit   Juho Kristian Ruohonen
• [R-sig-ME] CLMM: Calculate ICC & Assessing Model Fit   Juho Kristian Ruohonen
• [R-sig-ME] Statistical significance of random-effects (lme4 or others)   Juho Kristian Ruohonen
• [R-sig-ME] Statistical significance of random-effects (lme4 or others)   Juho Kristian Ruohonen
• [R-sig-ME] glmmTMB dispformula   Sainsbury, Nigel
• [R-sig-ME] A graphic for Random intercepts via distributions   Javier Seoane
• [R-sig-ME] CLMM: Calculate ICC & Assessing Model Fit   Sidoti, Salvatore A.
• [R-sig-ME] CLMM: Calculate ICC & Assessing Model Fit   Sidoti, Salvatore A.
• [R-sig-ME] FW: CLMM: Calculate ICC & Assessing Model Fit   Sidoti, Salvatore A.
• [R-sig-ME] Simulating mixed-effects longitudinal logistic data in R   Uanhoro, James
• [R-sig-ME] lme4 - Mixed Model question   Axel Urbiz
• [R-sig-ME] Level 2 outcome and 'Downdated VtV' error   Viechtbauer, Wolfgang (SP)
• [R-sig-ME] Downdated VtV error for two level mixed model   Viechtbauer, Wolfgang (SP)
• [R-sig-ME] Calculating effect sizes of fixed effects in lmer   Viechtbauer, Wolfgang (SP)
• [R-sig-ME] Setting priors for binary fixed effects   Pierre de Villemereuil
• [R-sig-ME] Setting priors for binary fixed effects   Pierre de Villemereuil
• [R-sig-ME] glmer / MuMin : Error in asMethod(object) : not a positive definite matrix   Rafael Wüest
• [R-sig-ME] Questions about lme4 package   Bingsong Zhang
• [R-sig-ME] Minimum detectable effect size in linear mixed model   Han Zhang
• [R-sig-ME] Minimum detectable effect size in linear mixed model   Han Zhang
• [R-sig-ME] glmmTMB, OpenMP and Ubuntu   meg at -x m at iii at g oii gmx at at et
• [R-sig-ME] Minimum detectable effect size in linear mixed model   varin sacha
• [R-sig-ME] Minimum detectable effect size in linear mixed model   varin sacha

Last message date: Wed Sep 30 21:57:23 CEST 2020
Archived on: Wed Sep 30 22:07:51 CEST 2020

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