Fourth quarter 2020 Archives by thread

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Starting: Thu Oct 1 09:30:40 CEST 2020
Ending: Mon Dec 28 13:17:42 CET 2020
Messages: 257

• [R-sig-ME] (no subject)   Marte Lilleeng
  • [R-sig-ME] (no subject)   Ben Bolker
• [R-sig-ME] Not really interested in correlations or random effects variances   Michele Scandola
  • [R-sig-ME] Not really interested in correlations or random effects variances   Phillip Alday
• [R-sig-ME] Fwd: What "pseudoreplication" or "degrees of freedom inflation" is in multilevel models?   Michele Scandola
  • [R-sig-ME] [EXTERNAL] Fwd: What "pseudoreplication" or "degrees of freedom inflation" is in multilevel models?   Philippi, Tom
• [R-sig-ME] Dropping correlations bet. random-effects in lme4 syntax   Simon Harmel
  • [R-sig-ME] Dropping correlations bet. random-effects in lme4 syntax   Phillip Alday
    • [R-sig-ME] Dropping correlations bet. random-effects in lme4 syntax   Simon Harmel
      • [R-sig-ME] Dropping correlations bet. random-effects in lme4 syntax   Phillip Alday
      • [R-sig-ME] Dropping correlations bet. random-effects in lme4 syntax   Simon Harmel
      • [R-sig-ME] Dropping correlations bet. random-effects in lme4 syntax   Phillip Alday
      • [R-sig-ME] Dropping correlations bet. random-effects in lme4 syntax   Simon Harmel
      • [R-sig-ME] Dropping correlations bet. random-effects in lme4 syntax   Phillip Alday
• [R-sig-ME] blmer(), minimum amount of prior to get a model to converge   Simon Harmel
  • [R-sig-ME] blmer(), minimum amount of prior to get a model to converge   Vincent Dorie
    • [R-sig-ME] blmer(), minimum amount of prior to get a model to converge   Ben Bolker
      • [R-sig-ME] blmer(), minimum amount of prior to get a model to converge   Vincent Dorie
      • [R-sig-ME] blmer(), minimum amount of prior to get a model to converge   Simon Harmel
      • [R-sig-ME] blmer(), minimum amount of prior to get a model to converge   Ben Bolker
• [R-sig-ME] Converting lme4 model syntax into corresponding regression equation   Simon Harmel
  • [R-sig-ME] Converting lme4 model syntax into corresponding regression equation   Ben Bolker
  • [R-sig-ME] Converting lme4 model syntax into corresponding regression equation   Pierre de Villemereuil
• [R-sig-ME] Why lme4 doesn't throw an error for illegitimate an model   Simon Harmel
  • [R-sig-ME] Why lme4 doesn't throw an error for illegitimate an model   Simon Harmel
    • [R-sig-ME] Why lme4 doesn't throw an error for illegitimate an model   Phillip Alday
      • [R-sig-ME] Why lme4 doesn't throw an error for illegitimate an model   Simon Harmel
      • [R-sig-ME] Why lme4 doesn't throw an error for illegitimate an model   Simon Harmel
      • [R-sig-ME] Why lme4 doesn't throw an error for illegitimate an model   Phillip Alday
      • [R-sig-ME] Why lme4 doesn't throw an error for illegitimate an model   Simon Harmel
      • [R-sig-ME] Why lme4 doesn't throw an error for illegitimate an model   Ben Bolker
• [R-sig-ME] Drop the correlation bet. random effects to find those with small variance   Phillip Alday
• [R-sig-ME] Can DHARMa be used with natural splines in the glmer formula?   SuzyR Brun
• [R-sig-ME] glmmTMB questions   Bingsong Zhang
  • [R-sig-ME] glmmTMB questions   Ben Bolker
  • [R-sig-ME] [EXTERNAL] glmmTMB questions   Philippi, Tom
    • [R-sig-ME] [EXTERNAL] glmmTMB questions   Bingsong Zhang
• [R-sig-ME] struc(term|group)   Bingsong Zhang
  • [R-sig-ME] struc(term|group)   Mollie Brooks
  • [R-sig-ME] struc(term|group)   Ben Bolker
    • [R-sig-ME] struc(term|group)   Bingsong Zhang
      • [R-sig-ME] struc(term|group)   Mollie Brooks
      • [R-sig-ME] struc(term|group)   Bingsong Zhang
• [R-sig-ME] Predict for glmer   Ben Bolker
• [R-sig-ME] question on nbinom1   Don Cohen
  • [R-sig-ME] question on nbinom1   Mollie Brooks
    • [R-sig-ME] question on nbinom1   Don Cohen
      • [R-sig-ME] question on nbinom1   Mollie Brooks
      • [R-sig-ME] question on nbinom1   Ben Bolker
      • [R-sig-ME] question on nbinom1   Don Cohen
• [R-sig-ME] lme4   Peter R Law
  • [R-sig-ME] lme4   Ben Bolker
• [R-sig-ME] confidence intervals with mvrnorm - upper value equal to inf   Alessandra Bielli
  • [R-sig-ME] confidence intervals with mvrnorm - upper value equal to inf   Ben Bolker
    • [R-sig-ME] confidence intervals with mvrnorm - upper value equal to inf   Alessandra Bielli
      • [R-sig-ME] confidence intervals with mvrnorm - upper value equal to inf   Ben Bolker
      • [R-sig-ME] confidence intervals with mvrnorm - upper value equal to inf   Alessandra Bielli
      • [R-sig-ME] confidence intervals with mvrnorm - upper value equal to inf   Ben Bolker
      • [R-sig-ME] confidence intervals with mvrnorm - upper value equal to inf   Alessandra Bielli
      • [R-sig-ME] confidence intervals with mvrnorm - upper value equal to inf   Ben Bolker
• [R-sig-ME] na.action = na.augment for random effects in lme4?   Andrew Robinson
  • [R-sig-ME] na.action = na.augment for random effects in lme4?   Phillip Alday
    • [R-sig-ME] na.action = na.augment for random effects in lme4?   Ben Bolker
• [R-sig-ME] Assessing whether sigma for a random effects parameter is equal to 0   Sammie Haskin
  • [R-sig-ME] Assessing whether sigma for a random effects parameter is equal to 0   Ben Bolker
  • [R-sig-ME] Assessing whether sigma for a random effects parameter is equal to 0   David Duffy
• [R-sig-ME] glmmTMB installation   Bingsong Zhang
  • [R-sig-ME] glmmTMB installation   Bingsong Zhang
    • [R-sig-ME] glmmTMB installation   Andrew Johnson
      • [R-sig-ME] glmmTMB installation   Ben Bolker
• [R-sig-ME] aggregation of count data   Don Cohen
• [R-sig-ME] Pulling specific parameters from models to prevent exhausting memory.   Ades, James
  • [R-sig-ME] Pulling specific parameters from models to prevent exhausting memory.   Voeten, C.C.
    • [R-sig-ME] Pulling specific parameters from models to prevent exhausting memory.   Ades, James
    • [R-sig-ME] Pulling specific parameters from models to prevent exhausting memory.   Ades, James
      • [R-sig-ME] Pulling specific parameters from models to prevent exhausting memory.   Cesko Voeten
      • [R-sig-ME] Pulling specific parameters from models to prevent exhausting memory.   Voeten, C.C.
  • [R-sig-ME] Pulling specific parameters from models to prevent exhausting memory.   Phillip Alday
• [R-sig-ME] Reporting den of df for f like AOV table using Sattertwaite's method   Salahadin Lotfi
  • [R-sig-ME] Reporting den of df for f like AOV table using Sattertwaite's method   Phillip Alday
• [R-sig-ME] problem with lme4 glmer   Rhodes, Justin S
  • [R-sig-ME] problem with lme4 glmer   Thierry Onkelinx
    • [R-sig-ME] problem with lme4 glmer   Thierry Onkelinx
• [R-sig-ME] Marginal effect plot for an interaction effect from GLMM following a beta-distribution (glmmTMB)   Jan anye Velimsky
  • [R-sig-ME] Marginal effect plot for an interaction effect from GLMM following a beta-distribution (glmmTMB)   Ben Bolker
    • [R-sig-ME] Marginal effect plot for an interaction effect from GLMM following a beta-distribution (glmmTMB)   Daniel Lüdecke
  • [R-sig-ME] Marginal effect plot for an interaction effect from GLMM following a beta-distribution (glmmTMB)   John Fox
• [R-sig-ME] Installation of glmmTMB   Bingsong Zhang
  • [R-sig-ME] Installation of glmmTMB   Phillip Alday
  • [R-sig-ME] Installation of glmmTMB   Bingsong Zhang
    • [R-sig-ME] Installation of glmmTMB   Ben Bolker
      • [R-sig-ME] Installation of glmmTMB   Bingsong Zhang
• [R-sig-ME] Convergence in glmmTMB but not glmer   Daniel Wright
  • [R-sig-ME] Convergence in glmmTMB but not glmer   Thierry Onkelinx
  • [R-sig-ME] Convergence in glmmTMB but not glmer   Ben Bolker
    • [R-sig-ME] Convergence in glmmTMB but not glmer   Thierry Onkelinx
      • [R-sig-ME] Convergence in glmmTMB but not glmer   Ben Bolker
      • [R-sig-ME] Convergence in glmmTMB but not glmer   Daniel Wright
      • [R-sig-ME] Convergence in glmmTMB but not glmer   Mollie Brooks
      • [R-sig-ME] Convergence in glmmTMB but not glmer   Daniel Wright
      • [R-sig-ME] Convergence in glmmTMB but not glmer   Daniel Wright
• [R-sig-ME] more on nbinom1 vs 2   Don Cohen
  • [R-sig-ME] more on nbinom1 vs 2   Ben Bolker
    • [R-sig-ME] next question about random effects (and where to post)   Don Cohen
• [R-sig-ME] next on aggregation, nbinom1, nbinom2   Don Cohen
• [R-sig-ME] lme4: plotting profile density (not Zeta) manually not by lattice   Simon Harmel
  • [R-sig-ME] lme4: plotting profile density (not Zeta) manually not by lattice   Daniel Lüdecke
  • [R-sig-ME] lme4: plotting profile density (not Zeta) manually not by lattice   Ben Bolker
    • [R-sig-ME] lme4: plotting profile density (not Zeta) manually not by lattice   Simon Harmel
      • [R-sig-ME] lme4: plotting profile density (not Zeta) manually not by lattice   Martin Maechler
      • [R-sig-ME] lme4: plotting profile density (not Zeta) manually not by lattice   Ben Bolker
      • [R-sig-ME] lme4: plotting profile density (not Zeta) manually not by lattice   Simon Harmel
      • [R-sig-ME] lme4: plotting profile density (not Zeta) manually not by lattice   Martin Maechler
• [R-sig-ME] Variance of the fixed effects lme4   Simon Harmel
  • [R-sig-ME] Variance of the fixed effects lme4   Phillip Alday
  • [R-sig-ME] Variance of the fixed effects lme4   Paul Johnson
• [R-sig-ME] pooled within-cluster regression line   Simon Harmel
• [R-sig-ME] Open PhD position on mixed effect models at University of Geneva   Olivier Renaud
• [R-sig-ME] lme4: Obtaining the SE of difference in two fixed-effects slope   Simon Harmel
  • [R-sig-ME] lme4: Obtaining the SE of difference in two fixed-effects slope   Thierry Onkelinx
• [R-sig-ME] lme4: Obtaining the SE of difference in two fixed-effects   Lenth, Russell V
  • [R-sig-ME] lme4: Obtaining the SE of difference in two fixed-effects   Ben Bolker
• [R-sig-ME] ICC from lmer with back transform   fabien leboeuf
  • [R-sig-ME] ICC from lmer with back transform   Pierre de Villemereuil
    • [R-sig-ME] ICC from lmer with back transform   Pierre de Villemereuil
• [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Simon Harmel
  • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Harold Doran
    • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Simon Harmel
      • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Harold Doran
      • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Viechtbauer, Wolfgang (SP)
      • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Simon Harmel
      • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Viechtbauer, Wolfgang (SP)
      • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Simon Harmel
      • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   James Pustejovsky
      • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Simon Harmel
      • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Viechtbauer, Wolfgang (SP)
      • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Simon Harmel
      • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Simon Harmel
      • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   James Pustejovsky
      • [R-sig-ME] lme: count the number extra parameters estimated for variance or covariances   Simon Harmel
• [R-sig-ME] nlme: The meaning of residual variance when using a variance structure   Simon Harmel
  • [R-sig-ME] nlme: The meaning of residual variance when using a variance structure   Phillip Alday
    • [R-sig-ME] nlme: The meaning of residual variance when using a variance structure   Simon Harmel
      • [R-sig-ME] nlme: The meaning of residual variance when using a variance structure   Phillip Alday
• [R-sig-ME] Using a custom random effects design matrix in MCMCglmm   r_1470
• [R-sig-ME] Covariance values for Random Effects in MCMCGlmm?   Srivats Chari
• [R-sig-ME] nlmer function Error in devfun(rho$pp$theta) error   Abdullah içen
• [R-sig-ME] Interpreting Estimates from GLMM following a beta-distribution (glmmTMB)   Jan Velimsky
  • [R-sig-ME] Interpreting Estimates from GLMM following a beta-distribution (glmmTMB)   Ben Bolker
    • [R-sig-ME] Interpreting Estimates from GLMM following a beta-distribution (glmmTMB)   David Duffy
• [R-sig-ME] nlme issue with multiple random effects and autoregression   Anne-Christine Auge
  • [R-sig-ME] nlme issue with multiple random effects and autoregression   sree datta
    • [R-sig-ME] nlme issue with multiple random effects and autoregression   Thierry Onkelinx
    • [R-sig-ME] nlme issue with multiple random effects and autoregression   sree datta
• [R-sig-ME] Using broom.mixed library with lme4   Simon Harmel
  • [R-sig-ME] Using broom.mixed library with lme4   Phillip Alday
  • [R-sig-ME] Using broom.mixed library with lme4   Zach Simpson
    • [R-sig-ME] Using broom.mixed library with lme4   Simon Harmel
      • [R-sig-ME] Using broom.mixed library with lme4   Phillip Alday
      • [R-sig-ME] Using broom.mixed library with lme4   Simon Harmel
      • [R-sig-ME] Using broom.mixed library with lme4   Phillip Alday
      • [R-sig-ME] Using broom.mixed library with lme4   Simon Harmel
      • [R-sig-ME] Using broom.mixed library with lme4   Andrew Johnson
• [R-sig-ME] GLM in an observatory study.   Benjamin Cinget
• [R-sig-ME] Input function when using nlme() in nlme package   Abdullah içen
• [R-sig-ME] Convergence in lme4: Something in the documentation   Simon Harmel
  • [R-sig-ME] Convergence in lme4: Something in the documentation   Ben Bolker
    • [R-sig-ME] Convergence in lme4: Something in the documentation   Simon Harmel
• [R-sig-ME] glmmTMB: fit mixed model with different covariance between two groups   Noci, Alessandro
  • [R-sig-ME] glmmTMB: fit mixed model with different covariance between two groups   Ben Bolker
• [R-sig-ME] Trying to modify variance structure   Marina Pastor
  • [R-sig-ME] Trying to modify variance structure   Thierry Onkelinx
    • [R-sig-ME] Trying to modify variance structure   Marina Pastor
• [R-sig-ME] Levels in random effect   Carlos Barboza
  • [R-sig-ME] Levels in random effect   Thierry Onkelinx
• [R-sig-ME] A GLMM Question   Hedyeh Ahmadi
• [R-sig-ME] Bayesian hierarchical modelling using R (IBHM05)   Oliver Hooker
• [R-sig-ME] What it means for rho to be 0 in lme() when using compound symmetry   Simon Harmel
  • [R-sig-ME] What it means for rho to be 0 in lme() when using compound symmetry   Phillip Alday
    • [R-sig-ME] What it means for rho to be 0 in lme() when using compound symmetry   Simon Harmel
      • [R-sig-ME] What it means for rho to be 0 in lme() when using compound symmetry   Phillip Alday
      • [R-sig-ME] What it means for rho to be 0 in lme() when using compound symmetry   Simon Harmel
• [R-sig-ME] What to do with zero inflated, negative skewed, negative data: a question about GLMMs   Gabriella Kountourides
  • [R-sig-ME] What to do with zero inflated, negative skewed, negative data: a question about GLMMs   Chris Howden
  • [R-sig-ME] What to do with zero inflated, negative skewed, negative data: a question about GLMMs   Thierry Onkelinx
    • [R-sig-ME] What to do with zero inflated, negative skewed, negative data: a question about GLMMs   Ben Bolker
  • [R-sig-ME] What to do with zero inflated, negative skewed, negative data: a question about GLMMs   Gabriella Kountourides
• [R-sig-ME] MCMCglmm covariance matrix question   Srivats Chari
  • [R-sig-ME] MCMCglmm covariance matrix question   Ben Bolker
    • [R-sig-ME] MCMCglmm covariance matrix question   Srivats Chari
• [R-sig-ME] How to report and quantify the random effect in a logistic model?   Pi
  • [R-sig-ME] How to report and quantify the random effect in a logistic model?   Phillip Alday
• [R-sig-ME] Quasi Poisson for glmm   Ebhodaghe Faith
  • [R-sig-ME] Quasi Poisson for glmm   Thierry Onkelinx
    • [R-sig-ME] Quasi Poisson for glmm   Ebhodaghe Faith
      • [R-sig-ME] Quasi Poisson for glmm   Thierry Onkelinx
      • [R-sig-ME] Quasi Poisson for glmm   Ebhodaghe Faith
      • [R-sig-ME] Quasi Poisson for glmm   Thierry Onkelinx
      • [R-sig-ME] Quasi Poisson for glmm   Ben Bolker
      • [R-sig-ME] Quasi Poisson for glmm   Ebhodaghe Faith
• [R-sig-ME] Multiple random slopes in coxme   Patrick (Malone Quantitative)
  • [R-sig-ME] Multiple random slopes in coxme   David Duffy
    • [R-sig-ME] Multiple random slopes in coxme   Patrick (Malone Quantitative)
• [R-sig-ME] Different estimates for mixed effects Logistic regression and pwrssUpdate Error message with binomial glmer   Tiantian Yang
  • [R-sig-ME] Different estimates for mixed effects Logistic regression and pwrssUpdate Error message with binomial glmer   David Duffy
• [R-sig-ME] Quasi-GAMM AIC?   luca corlatti
  • [R-sig-ME] Quasi-GAMM AIC?   Ben Bolker
    • [R-sig-ME] Quasi-GAMM AIC?   Boku mail
• [R-sig-ME] Interpreting GLMM output and is this the right model?   Gabriella Kountourides
  • [R-sig-ME] Interpreting GLMM output and is this the right model?   Boku mail
    • [R-sig-ME] Interpreting GLMM output and is this the right model?   Gabriella Kountourides
  • [R-sig-ME] Interpreting GLMM output and is this the right model?   Boku mail
• [R-sig-ME] Generalized Linear Mixed-Effects Model for single RNA sequencing data   Rohit Arora
• [R-sig-ME] How to generate the equation of a GLMM?   Marina Pastor
  • [R-sig-ME] How to generate the equation of a GLMM?   Ben Bolker
    • [R-sig-ME] How to generate the equation of a GLMM?   Marina Pastor
• [R-sig-ME] Choice of fixed effects and random effects in glmm   Ebhodaghe Faith
  • [R-sig-ME] Choice of fixed effects and random effects in glmm   Phillip Alday
    • [R-sig-ME] Choice of fixed effects and random effects in glmm   Ebhodaghe Faith
• [R-sig-ME] Trait specific random effects and covariance between them in MCMCglmm   Benedikt Holtmann
  • [R-sig-ME] Trait specific random effects and covariance between them in MCMCglmm   David Duffy
• [R-sig-ME] Question regarding large data.frame in LMER?   Jad Moawad
  • [R-sig-ME] Question regarding large data.frame in LMER?   Jeff Newmiller
  • [R-sig-ME] Question regarding large data.frame in LMER?   João Veríssimo
    • [R-sig-ME] Question regarding large data.frame in LMER?   Vinicius Maia
      • [R-sig-ME] Question regarding large data.frame in LMER?   Paul Johnson
  • [R-sig-ME] Question regarding large data.frame in LMER?   Harold Doran
    • [R-sig-ME] Question regarding large data.frame in LMER?   Voeten, C.C.
      • [R-sig-ME] Question regarding large data.frame in LMER?   Jad Moawad
      • [R-sig-ME] Question regarding large data.frame in LMER?   João Veríssimo
    • [R-sig-ME] Question regarding large data.frame in LMER?   Douglas Bates
      • [R-sig-ME] Question regarding large data.frame in LMER?   Jad Moawad
      • [R-sig-ME] Question regarding large data.frame in LMER?   Harold Doran
      • [R-sig-ME] Question regarding large data.frame in LMER?   Phillip Alday
      • [R-sig-ME] Question regarding large data.frame in LMER?   Ben Bolker
      • [R-sig-ME] Question regarding large data.frame in LMER?   Harold Doran
      • [R-sig-ME] Question regarding large data.frame in LMER?   David Duffy
      • [R-sig-ME] Question regarding large data.frame in LMER?   Douglas Bates
• [R-sig-ME] simulating gam/bam model   David Villegas Ríos
• [R-sig-ME] Follow up question   Harold Doran
• [R-sig-ME] Finding interval with negligible linear trend   Maarten Jung
• [R-sig-ME] Interpret the output of a Tweedie GLMM   Sarah Patricia Chisholm
• [R-sig-ME] lmer analysis of identical twins data   Oghabian, Ali
  • [R-sig-ME] lmer analysis of identical twins data   David Duffy
  • [R-sig-ME] lmer analysis of identical twins data   David Duffy
• [R-sig-ME] Efficient mixed logistic reg w 500k individuals   Mitchell Maltenfort
  • [R-sig-ME] Efficient mixed logistic reg w 500k individuals   sree datta
    • [R-sig-ME] Efficient mixed logistic reg w 500k individuals   Phillip Alday
      • [R-sig-ME] Efficient mixed logistic reg w 500k individuals   Mitchell Maltenfort
  • [R-sig-ME] Efficient mixed logistic reg w 500k individuals   Phillip Alday
    • [R-sig-ME] Efficient mixed logistic reg w 500k individuals   Mitchell Maltenfort
• [R-sig-ME] Regression analysis with small but complete dataset (fully representing reality)?   Diana Michl
  • [R-sig-ME] Regression analysis with small but complete dataset (fully representing reality)?   Patrick (Malone Quantitative)
    • [R-sig-ME] Regression analysis with small but complete dataset (fully representing reality)?   Patrick (Malone Quantitative)
      • [R-sig-ME] Regression analysis with small but complete dataset (fully representing reality)?   sree datta
      • [R-sig-ME] Regression analysis with small but complete dataset (fully representing reality)?   Diana Michl
      • [R-sig-ME] Regression analysis with small but complete dataset (fully representing reality)?   Phillip Alday

Last message date: Mon Dec 28 13:17:42 CET 2020
Archived on: Mon Dec 28 13:28:01 CET 2020

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