Fourth quarter 2024 Archives by thread

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Starting: Tue Oct 8 04:19:09 CEST 2024
Ending: Mon Dec 30 15:50:01 CET 2024
Messages: 56

• [R-sig-ME] Starting point for modeling a within-subject design   Simon Harmel
  • [R-sig-ME] Starting point for modeling a within-subject design   Ben Bolker
    • [R-sig-ME] Starting point for modeling a within-subject design   Simon Harmel
• [R-sig-ME] Seeking Advice on Structural Equation Modeling with GLMMs   杨李舒男
• [R-sig-ME] how to get satterthwaite/Kenward-Roger degrees of freedom for heterogeneous-variance one-way ANOVA from an object of nlme::gls   Qiu, Weiliang /US
  • [R-sig-ME] how to get satterthwaite/Kenward-Roger degrees of freedom for heterogeneous-variance one-way ANOVA from an object of nlme::gls   Ben Bolker
    • [R-sig-ME] how to get satterthwaite/Kenward-Roger degrees of freedom for heterogeneous-variance one-way ANOVA from an object of nlme::gls   Qiu, Weiliang /US
      • [R-sig-ME] how to get satterthwaite/Kenward-Roger degrees of freedom for heterogeneous-variance one-way ANOVA from an object of nlme::gls   Maarten Jung
      • [R-sig-ME] how to get satterthwaite/Kenward-Roger degrees of freedom for heterogeneous-variance one-way ANOVA from an object of nlme::gls   Qiu, Weiliang /US
  • [R-sig-ME] how to get satterthwaite/Kenward-Roger degrees of freedom for heterogeneous-variance one-way ANOVA from an object of nlme::gls   Lenth, Russell V
    • [R-sig-ME] how to get satterthwaite/Kenward-Roger degrees of freedom for heterogeneous-variance one-way ANOVA from an object of nlme::gls   Qiu, Weiliang /US
  • [R-sig-ME] how to get satterthwaite/Kenward-Roger degrees of freedom for heterogeneous-variance one-way ANOVA from an object of nlme::gls   Rolf Turner
    • [R-sig-ME] how to get satterthwaite/Kenward-Roger degrees of freedom for heterogeneous-variance one-way ANOVA from an object of nlme::gls   Qiu, Weiliang /US
  • [R-sig-ME] how to get satterthwaite/Kenward-Roger degrees of freedom for heterogeneous-variance one-way ANOVA from an object of nlme::gls   Lenth, Russell V
    • [R-sig-ME] how to get satterthwaite/Kenward-Roger degrees of freedom for heterogeneous-variance one-way ANOVA from an object of nlme::gls   Qiu, Weiliang /US
    • [R-sig-ME] Coding comparisons and interactions with the R package emmeans   Chen, Gang (NIH/NIMH) [E]
• [R-sig-ME] Convergence issues with nlme:lme   Robert Long
  • [R-sig-ME] Convergence issues with nlme:lme   Ben Bolker
• [R-sig-ME] Fixing non-symetrix sigma matrix   Simon Harmel
  • [R-sig-ME] Fixing non-symetrix sigma matrix   Rolf Turner
    • [R-sig-ME] Fixing non-symetrix sigma matrix   Ben Bolker
      • [R-sig-ME] Fixing non-symetrix sigma matrix   Simon Harmel
• [R-sig-ME] glmmTMB syntax to brm() syntax   Simon Harmel
  • [R-sig-ME] glmmTMB syntax to brm() syntax   Ben Bolker
    • [R-sig-ME] glmmTMB syntax to brm() syntax   Simon Harmel
      • [R-sig-ME] glmmTMB syntax to brm() syntax   Ben Bolker
      • [R-sig-ME] glmmTMB syntax to brm() syntax   Simon Harmel
      • [R-sig-ME] glmmTMB syntax to brm() syntax   Ben Bolker
      • [R-sig-ME] glmmTMB syntax to brm() syntax   Simon Harmel
    • [R-sig-ME] glmmTMB syntax to brm() syntax   Simon Harmel
      • [R-sig-ME] glmmTMB syntax to brm() syntax   Ben Bolker
      • [R-sig-ME] glmmTMB syntax to brm() syntax   Simon Harmel
      • [R-sig-ME] glmmTMB syntax to brm() syntax   Ben Bolker
      • [R-sig-ME] glmmTMB syntax to brm() syntax   Simon Harmel
      • [R-sig-ME] glmmTMB syntax to brm() syntax   Ben Bolker
• [R-sig-ME] GLMM post-hoc analysis with bootstrapping   Lieke Moereels
• [R-sig-ME] glmmTMB output for t-family   Henrik Singmann
  • [R-sig-ME] glmmTMB output for t-family   Mollie Brooks
    • [R-sig-ME] glmmTMB output for t-family   Henrik Singmann
      • [R-sig-ME] glmmTMB output for t-family   Ben Bolker
• [R-sig-ME] bootstrap confidence interval and p-value for treatment vs control comparisons   Lieke Moereels
  • [R-sig-ME] bootstrap confidence interval and p-value for treatment vs control comparisons   Ben Bolker
    • [R-sig-ME] bootstrap confidence interval and p-value for treatment vs control comparisons   Lieke Moereels
• [R-sig-ME] Introduction to GLLVM and multivariate GLMM   Alain Zuur
• [R-sig-ME] Nonlinear mixed models with nlme::nlme() and lme4::nlmer()   David Sirl
• [R-sig-ME] contrasts and factors with 2 or more levels   Gonçalo M. Rosa
• [R-sig-ME] Simulating beta-distributed outcome in glmmTMB   Simon Harmel
• [R-sig-ME] very low conditiona; l/marginal r-squared for a mixed model   Santosh Srinivas
• [R-sig-ME] lme4 (V.1.1-35.5) Convergence Warnings & Model Reliability   Vazquez Sanchez, Manuel
  • [R-sig-ME] lme4 (V.1.1-35.5) Convergence Warnings & Model Reliability   Paul Johnson
• [R-sig-ME] ONLINE COURSE – Introduction To Mixed Models Using R And Rstudio (IMMR09)   Oliver Hooker
• [R-sig-ME] reference category in varIdent function (once again)   James Pustejovsky
  • [R-sig-ME] reference category in varIdent function (once again)   Sebastian Meyer
    • [R-sig-ME] reference category in varIdent function (once again)   James Pustejovsky
      • [R-sig-ME] reference category in varIdent function (once again)   Sebastian Meyer
      • [R-sig-ME] reference category in varIdent function (once again)   James Pustejovsky

Last message date: Mon Dec 30 15:50:01 CET 2024
Archived on: Mon Dec 30 16:00:20 CET 2024

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