Second quarter 2019 Archives by thread

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Starting: Mon Apr 1 13:09:24 CEST 2019
Ending: Fri Jun 28 11:02:34 CEST 2019
Messages: 233

• [R-sig-ME] choice of prediction error calculations for zero inflated model   D. Rizopoulos
• [R-sig-ME] Unrealistic coefficient values from an MCMCglmm mixed model   Ronan James Osullivan
  • [R-sig-ME] Unrealistic coefficient values from an MCMCglmm mixed model   Ben Bolker
  • [R-sig-ME] Unrealistic coefficient values from an MCMCglmm mixed model   Ronan James Osullivan
    • [R-sig-ME] Unrealistic coefficient values from an MCMCglmm mixed model   Ben Bolker
• [R-sig-ME] Blue model timing out.   Sean MacEachern
• [R-sig-ME] Random effects with data collected at different scales   Brandt, Carla Freitas
  • [R-sig-ME] Random effects with data collected at different scales   Vinicius Maia
    • [R-sig-ME] Random effects with data collected at different scales   Ben Bolker
• [R-sig-ME] random slopes in gamm4   John Morrongiello
  • [R-sig-ME] random slopes in gamm4   René
    • [R-sig-ME] random slopes in gamm4   Cesko Voeten
      • [R-sig-ME] random slopes in gamm4   Ben Bolker
• [R-sig-ME] Multilevel moderated mediation   Shaul Oreg
• [R-sig-ME] Why is glmmTMP is estimating approx half value for Zero inflated Conway maxwell poisson mixed model only for the non Zero part?   Lokesh Arya
  • [R-sig-ME] Why is glmmTMP is estimating approx half value for Zero inflated Conway maxwell poisson mixed model only for the non Zero part?   Mollie Brooks
    • [R-sig-ME] Why is glmmTMP is estimating approx half value for Zero inflated Conway maxwell poisson mixed model only for the non Zero part?   Mollie Brooks
    • [R-sig-ME] Multilevel moderated mediation - Take 2   Shaul Oreg
• [R-sig-ME] Fwd: car::Anova type III for glmer: are very high chi square values a sign of overfitting?   Guillaume Adeux
  • [R-sig-ME] Fwd: car::Anova type III for glmer: are very high chi square values a sign of overfitting?   Fox, John
    • [R-sig-ME] Fwd: car::Anova type III for glmer: are very high chi square values a sign of overfitting?   Guillaume Adeux
      • [R-sig-ME] car::Anova type III for glmer: are very high chi square values a sign of overfitting?   Fox, John
• [R-sig-ME] glmmTMB false convergence   Ben Carlson
  • [R-sig-ME] GLMMTMB false convergence   Michael Whitby
    • [R-sig-ME] GLMMTMB false convergence   Ben Bolker
• [R-sig-ME] singularity issue in lmer   Catalina Ratala
  • [R-sig-ME] singularity issue in lmer   Thierry Onkelinx
    • [R-sig-ME] R: singularity issue in lmer   Voeten, C.C.
    • [R-sig-ME] singularity issue in lmer   Catalina Ratala
      • [R-sig-ME] singularity issue in lmer   Thierry Onkelinx
• [R-sig-ME] R-sig-mixed-models Digest, Vol 148, Issue 9   Ben Carlson
• [R-sig-ME] MCMCglmm biivariate logistic and poisson regression   Mark Straccia
• [R-sig-ME] convergence: nearly unidentifiable: very large eigenvalue-Rescale variables?   Souheyla GHEBGHOUB
  • [R-sig-ME] convergence: nearly unidentifiable: very large eigenvalue-Rescale variables?   Phillip Alday
  • [R-sig-ME] convergence: nearly unidentifiable: very large eigenvalue-Rescale variables?   Phillip Alday
  • [R-sig-ME] convergence: nearly unidentifiable: very large eigenvalue-Rescale variables?   Souheyla GHEBGHOUB
• [R-sig-ME] Anova()'s Wald chisquare test for predictors with df > 1 in a logistic GLMM   Juho Kristian Ruohonen
  • [R-sig-ME] Anova()'s Wald chisquare test for predictors with df > 1 in a logistic GLMM   Fox, John
  • [R-sig-ME] Anova()'s Wald chisquare test for predictors with df > 1 in a logistic GLMM   Paul Johnson
  • [R-sig-ME] Anova()'s Wald chisquare test for predictors with df > 1 in a logistic GLMM   Fox, John
    • [R-sig-ME] Anova()'s Wald chisquare test for predictors with df > 1 in a logistic GLMM   Juho Kristian Ruohonen
      • [R-sig-ME] Anova()'s Wald chisquare test for predictors with df > 1 in a logistic GLMM   Fox, John
• [R-sig-ME] Specification of random effects structure   Thorsten Aichele
• [R-sig-ME] Specific doubts about glmer() function   David Bars
• [R-sig-ME] Log likelihood of a glmer() binomial model .   Rolf Turner
  • [R-sig-ME] Log likelihood of a glmer() binomial model .   Ben Bolker
    • [R-sig-ME] Log likelihood of a glmer() binomial model .   Rolf Turner
      • [R-sig-ME] Log likelihood of a glmer() binomial model .   Juho Kristian Ruohonen
      • [R-sig-ME] Log likelihood of a glmer() binomial model .   Ben Bolker
      • [R-sig-ME] Log likelihood of a glmer() binomial model .   Rolf Turner
      • [R-sig-ME] Log likelihood of a glmer() binomial model .   Juho Kristian Ruohonen
      • [R-sig-ME] Log likelihood of a glmer() binomial model .   Rolf Turner
      • [R-sig-ME] Log likelihood of a glmer() binomial model .   Rolf Turner
    • [R-sig-ME] Log likelihood of a glmer() binomial model .   Rolf Turner
      • [R-sig-ME] Log likelihood of a glmer() binomial model .   Phillip Alday
      • [R-sig-ME] Log likelihood of a glmer() binomial model .   Rolf Turner
  • [R-sig-ME] Log likelihood of a glmer() binomial model .   Ben Bolker
• [R-sig-ME] MCMCglmm parameter expansion prior for binary model?   Jose Valdebenito Chavez
• [R-sig-ME] logistic regression on posttest (0, 1) with pretest(0, 1)*Group(Treatment, Ctrl) interaction   Souheyla GHEBGHOUB
  • [R-sig-ME] logistic regression on posttest (0, 1) with pretest(0, 1)*Group(Treatment, Ctrl) interaction   Sorkin, John
    • [R-sig-ME] logistic regression on posttest (0, 1) with pretest(0, 1)*Group(Treatment, Ctrl) interaction   Souheyla GHEBGHOUB
      • [R-sig-ME] logistic regression on posttest (0, 1) with pretest(0, 1)*Group(Treatment, Ctrl) interaction   Sorkin, John
      • [R-sig-ME] logistic regression on posttest (0, 1) with pretest(0, 1)*Group(Treatment, Ctrl) interaction   Souheyla GHEBGHOUB
    • [R-sig-ME] [FORGED] Re: logistic regression on posttest (0, 1) with pretest(0, 1)*Group(Treatment, Ctrl) interaction   Rolf Turner
      • [R-sig-ME] [FORGED] Re: logistic regression on posttest (0, 1) with pretest(0, 1)*Group(Treatment, Ctrl) interaction   Jeff Newmiller
      • [R-sig-ME] [FORGED] Re: logistic regression on posttest (0, 1) with pretest(0, 1)*Group(Treatment, Ctrl) interaction   René
      • [R-sig-ME] [FORGED] Re: logistic regression on posttest (0, 1) with pretest(0, 1)*Group(Treatment, Ctrl) interaction   Souheyla GHEBGHOUB
      • [R-sig-ME] [FORGED] Re: logistic regression on posttest (0, 1) with pretest(0, 1)*Group(Treatment, Ctrl) interaction   René
      • [R-sig-ME] [FORGED] Re: logistic regression on posttest (0, 1) with pretest(0, 1)*Group(Treatment, Ctrl) interaction   Souheyla GHEBGHOUB
      • [R-sig-ME] [FORGED] Re: logistic regression on posttest (0, 1) with pretest(0, 1)*Group(Treatment, Ctrl) interaction   Lenth, Russell V
• [R-sig-ME] MCMCglmm bivariate logistic and poisson regression   Mark Straccia
• [R-sig-ME] Theoric rapid doubts about glmer()   David Bars
  • [R-sig-ME] Theoric rapid doubts about glmer()   D. Rizopoulos
    • [R-sig-ME] Theoric rapid doubts about glmer()   David Bars
• [R-sig-ME] Cross-validated likelihood, cont.   Ben Bolker
  • [R-sig-ME] Cross-validated likelihood, cont.   Rolf Turner
    • [R-sig-ME] Cross-validated likelihood, cont.   Ben Bolker
      • [R-sig-ME] Cross-validated likelihood, cont.   Rolf Turner
      • [R-sig-ME] Cross-validated likelihood, cont.   D. Rizopoulos
      • [R-sig-ME] Cross-validated likelihood, cont.   Rolf Turner
  • [R-sig-ME] Cross-validated likelihood, cont.   Rolf Turner
• [R-sig-ME] multivariate mixed model for composition data : RRPP, mvabund as alternatives to permanova?   Guillaume Adeux
  • [R-sig-ME] multivariate mixed model for composition data : RRPP, mvabund as alternatives to permanova?   Torsten Hauffe
• [R-sig-ME] What does that mean?   DESPINA MICHAILIDOU
  • [R-sig-ME] What does that mean?   Thierry Onkelinx
  • [R-sig-ME] What does that mean?   Ben Bolker
    • [R-sig-ME] What does that mean?   Martin Maechler
      • [R-sig-ME] What does that mean?   Ben Bolker
• [R-sig-ME] (no subject)   DESPINA MICHAILIDOU
• [R-sig-ME] What p value should I report here?   DESPINA MICHAILIDOU
  • [R-sig-ME] What p value should I report here?   Ben Bolker
    • [R-sig-ME] What p value should I report here?   Ben Bolker
• [R-sig-ME] Dealing with zero inflated models: How to visualize and bootstrap to calculate the CIs?   Pardis Miri
• [R-sig-ME] Fitting a zero inflated mixed-effects mode to proportion data using glmmTMB   Sonia Bejarano
• [R-sig-ME] False Convergence warning   Robert Ackerman
  • [R-sig-ME] False Convergence warning   Robert Ackerman
    • [R-sig-ME] False Convergence warning   Ben Bolker
    • [R-sig-ME] False Convergence warning   Ben Bolker
• [R-sig-ME] A consultation about DF of the result of lmer   何如梦
  • [R-sig-ME] A consultation about DF of the result of lmer   Ben Bolker
  • [R-sig-ME] A consultation about DF of the result of lmer   Fox, John
    • [R-sig-ME] A consultation about DF of the result of lmer   Fox, John
      • [R-sig-ME] A consultation about DF of the result of lmer   Fox, John
• [R-sig-ME] How do I run ordinal regression analysis   DESPINA MICHAILIDOU
  • [R-sig-ME] How do I run ordinal regression analysis   Paul Buerkner
• [R-sig-ME] Warning message after "unscaling" predictor variable   Rachael Mady
  • [R-sig-ME] Warning message after "unscaling" predictor variable   Ben Bolker
  • [R-sig-ME] Warning message after "unscaling" predictor variable   D. Rizopoulos
• [R-sig-ME] Doubts on zero-inflated model (glmmTMB)   André Pardal
• [R-sig-ME] Extract individual likelihood from glmmTMB   Suna Park
  • [R-sig-ME] Extract individual likelihood from glmmTMB   Ben Bolker
• [R-sig-ME] Collinearity tests (e.g. VIF) for glmmTMB package   Williamson, Michael
  • [R-sig-ME] Collinearity tests (e.g. VIF) for glmmTMB package   Fox, John
    • [R-sig-ME] Collinearity tests (e.g. VIF) for glmmTMB package   Ben Bolker
      • [R-sig-ME] Collinearity tests (e.g. VIF) for glmmTMB package   Fox, John
      • [R-sig-ME] Collinearity tests (e.g. VIF) for glmmTMB package   Daniel Lüdecke
      • [R-sig-ME] Collinearity tests (e.g. VIF) for glmmTMB package   D. Rizopoulos
      • [R-sig-ME] Collinearity tests (e.g. VIF) for glmmTMB package   Fox, John
      • [R-sig-ME] Collinearity tests (e.g. VIF) for glmmTMB package   d at iuedecke m at iii at g oii uke at de
      • [R-sig-ME] Collinearity tests (e.g. VIF) for glmmTMB package   Williamson, Michael
      • [R-sig-ME] Collinearity tests (e.g. VIF) for glmmTMB package   Fox, John
• [R-sig-ME] First post: binomial model for omission of items of questionnaire, and advice on reading   Chris Evans
  • [R-sig-ME] First post: binomial model for omission of items of questionnaire, and advice on reading   D. Rizopoulos
  • [R-sig-ME] First post: binomial model for omission of items of questionnaire, and advice on reading   Chris Evans
• [R-sig-ME] lme4: Error from allFit when applied to lmer model fitted with changed control parameters   Gerrit Eichner
  • [R-sig-ME] lme4: Error from allFit when applied to lmer model fitted with changed control parameters   Ben Bolker
• [R-sig-ME] factor importance in glmm with a two-way ANOVA structure   JUAN PEDRO GONZALEZ VARO
• [R-sig-ME] Optimism introduced by non-converging models in bootstrap validation of GLMM (lme4)   Juho Kristian Ruohonen
  • [R-sig-ME] Optimism introduced by non-converging models in bootstrap validation of GLMM (lme4)   Ben Bolker
• [R-sig-ME] MCMCglmm random slope model   Shae Crain
• [R-sig-ME] lme4: qqmath.ranef.mer fails for lmer model with more than one random-effects term for a given grouping factor   Gerrit Eichner
  • [R-sig-ME] lme4: qqmath.ranef.mer fails for lmer model with more than one random-effects term for a given grouping factor   Maarten Jung
    • [R-sig-ME] lme4: qqmath.ranef.mer fails for lmer model with more than one random-effects term for a given grouping factor   Gerrit Eichner
• [R-sig-ME] Mixed model parameterization   Manuel Spínola
  • [R-sig-ME] Mixed model parameterization   Thierry Onkelinx
    • [R-sig-ME] Mixed model parameterization   Manuel Spínola
      • [R-sig-ME] Mixed model parameterization   Salvador Sánchez-Colón
      • [R-sig-ME] Mixed model parameterization   Manuel Spínola
      • [R-sig-ME] Mixed model parameterization   Thierry Onkelinx
      • [R-sig-ME] Mixed model parameterization   Manuel Spínola
      • [R-sig-ME] Mixed model parameterization   Joaquín Aldabe
  • [R-sig-ME] Mixed model parameterization   Salvador SANCHEZ COLON
    • [R-sig-ME] Mixed model parameterization   Joaquín Aldabe
    • [R-sig-ME] Mixed model parameterization   Manuel Spínola
      • [R-sig-ME] Mixed model parameterization   Joaquín Aldabe
• [R-sig-ME] predict function for a glmm   Williamson, Michael
  • [R-sig-ME] predict function for a glmm   Ben Bolker
  • [R-sig-ME] predict function for a glmm   D. Rizopoulos
• [R-sig-ME] Prior for phylogenetic multi-response model MCMCglmm   Diego Beltran
• [R-sig-ME] GLMER vs. MCMCglmm - difference in model results - Poisson model with offset term   Bernd Lenzner
  • [R-sig-ME] GLMER vs. MCMCglmm - difference in model results - Poisson model with offset term   Martin Maechler
  • [R-sig-ME] GLMER vs. MCMCglmm - difference in model results - Poisson model with offset term   Bernd Lenzner
    • [R-sig-ME] GLMER vs. MCMCglmm - difference in model results - Poisson model with offset term   Paul Johnson
• [R-sig-ME] Introduction to Bayesian hierarchical modelling using R (IBHM03)   Oliver Hooker
• [R-sig-ME] R package buildmer for automatic stepwise selection of mixed-effects models and GAMMs   Cesko Voeten
• [R-sig-ME] What is the equivalent of Compound Symmetry : Heterogeneous test in R?   Pardis Miri
• [R-sig-ME] Equivalent of covariance pattern model with a heterogeneous compound symmetric   Pardis Miri
  • [R-sig-ME] Equivalent of covariance pattern model with a heterogeneous compound symmetric   Ben Pelzer
    • [R-sig-ME] Equivalent of covariance pattern model with a heterogeneous compound symmetric   Pardis Miri
      • [R-sig-ME] Equivalent of covariance pattern model with a heterogeneous compound symmetric   Ben Pelzer
• [R-sig-ME] compare a neighbourhood value with the city mean - test of significance in presence of spatial autocorrelation   dani jones
  • [R-sig-ME] compare a neighbourhood value with the city mean - test of significance in presence of spatial autocorrelation   Thierry Onkelinx
    • [R-sig-ME] compare a neighbourhood value with the city mean - test of significance in presence of spatial autocorrelation   dani jones
      • [R-sig-ME] compare a neighbourhood value with the city mean - test of significance in presence of spatial autocorrelation   Thierry Onkelinx
• [R-sig-ME] Stats course: Mixed effects modelling   Highland Statistics Ltd
• [R-sig-ME] chisq = 0 and p = 1 in glmer model comparison result   Becky Gilbert
  • [R-sig-ME] chisq = 0 and p = 1 in glmer model comparison result   Guillaume Adeux
    • [R-sig-ME] chisq = 0 and p = 1 in glmer model comparison result   Paul Johnson
      • [R-sig-ME] chisq = 0 and p = 1 in glmer model comparison result   Ben Bolker
• [R-sig-ME] Generalised Linear (MIXED) (GLMM), Nonlinear (NLGLM) And General Additive Models (MIXED) (GAMM) (GNAM01)   Oliver Hooker
• [R-sig-ME] R-sig-mixed-models Digest, Vol 150, Issue 1   Gregoire, Timothy
• [R-sig-ME] denominator DOF in lme, inner-outer rule   Cristiano Alessandro
  • [R-sig-ME] denominator DOF in lme, inner-outer rule   Ben Bolker
• [R-sig-ME] lme4 installation issue   Tanay Ghosh
  • [R-sig-ME] lme4 installation issue   Thierry Onkelinx
• [R-sig-ME] Mixed model interpretation with interaction   Patricia Graf
  • [R-sig-ME] Mixed model interpretation with interaction   Emmanuel Curis
  • [R-sig-ME] Mixed model interpretation with interaction   d at iuedecke m at iii at g oii uke at de
    • [R-sig-ME] Mixed model interpretation with interaction   René
      • [R-sig-ME] Mixed model interpretation with interaction   René
      • [R-sig-ME] Mixed model interpretation with interaction   d at iuedecke m at iii at g oii uke at de
      • [R-sig-ME] Mixed model interpretation with interaction   René
      • [R-sig-ME] Mixed model interpretation with interaction   Emmanuel Curis
• [R-sig-ME] adaptive gaussian quadrature algorithm for unit-lindley glmm   HATICE T KUBRA AKDUR
  • [R-sig-ME] adaptive gaussian quadrature algorithm for unit-lindley glmm   D. Rizopoulos
• [R-sig-ME] (lme4) Calculating variance component and random-effect shrinkage in a logistic random-intercept model   Juho Kristian Ruohonen
  • [R-sig-ME] (lme4) Calculating variance component and random-effect shrinkage in a logistic random-intercept model   Ben Bolker
• [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   Sam Crawley
  • [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   d at iuedecke m at iii at g oii uke at de
    • [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   d at iuedecke m at iii at g oii uke at de
      • [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   Mollie Brooks
      • [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   d at iuedecke m at iii at g oii uke at de
      • [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   Mollie Brooks
      • [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   d at iuedecke m at iii at g oii uke at de
      • [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   Sam Crawley
      • [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   d at iuedecke m at iii at g oii uke at de
      • [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   Rose, Charles E. (CDC/DDNID/NCBDDD/OD)
    • [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   Sam Crawley
      • [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   d at iuedecke m at iii at g oii uke at de
      • [R-sig-ME] Predicted probabilites with CIs for multilevel logistic regression with prior weights   Sam Crawley
• [R-sig-ME] lme4 analysis_2ANOVA repeated measure   Tanay Ghosh
  • [R-sig-ME] lme4 analysis_2ANOVA repeated measure   Emmanuel Curis
    • [R-sig-ME] lme4 analysis_2ANOVA repeated measure   Tanay Ghosh
• [R-sig-ME] convergence issues on lme4 and incoherent error messages   Cristiano Alessandro
  • [R-sig-ME] convergence issues on lme4 and incoherent error messages   Cesko Voeten
  • [R-sig-ME] convergence issues on lme4 and incoherent error messages   Ben Bolker
    • [R-sig-ME] convergence issues on lme4 and incoherent error messages   Cristiano Alessandro
      • [R-sig-ME] convergence issues on lme4 and incoherent error messages   René
      • [R-sig-ME] convergence issues on lme4 and incoherent error messages   René
      • [R-sig-ME] convergence issues on lme4 and incoherent error messages   Cristiano Alessandro
      • [R-sig-ME] convergence issues on lme4 and incoherent error messages   Ben Bolker
      • [R-sig-ME] convergence issues on lme4 and incoherent error messages   Cristiano Alessandro
      • [R-sig-ME] convergence issues on lme4 and incoherent error messages   David Duffy
      • [R-sig-ME] convergence issues on lme4 and incoherent error messages   René
      • [R-sig-ME] convergence issues on lme4 and incoherent error messages   Cristiano Alessandro
      • [R-sig-ME] convergence issues on lme4 and incoherent error messages   René
• [R-sig-ME] singularity - differences in model output   Alessandra Bielli
  • [R-sig-ME] singularity - differences in model output   Ben Bolker
• [R-sig-ME] names of interaction / consistency between ranef and fixef   Baud-Bovy Gabriel
  • [R-sig-ME] names of interaction / consistency between ranef and fixef   Ben Bolker
    • [R-sig-ME] names of interaction / consistency between ranef and fixef   Baud-Bovy Gabriel
• [R-sig-ME] post-hoc tests warnings after fitting a linear mixed effect model   Cristiano Alessandro
• [R-sig-ME] Mixed model and repeated measures in R   DESPINA MICHAILIDOU
  • [R-sig-ME] Mixed model and repeated measures in R   Thierry Onkelinx
  • [R-sig-ME] Mixed model and repeated measures in R   Robert Long
    • [R-sig-ME] Mixed model and repeated measures in R   DESPINA MICHAILIDOU
• [R-sig-ME] Is it possible to compute pairwise differences of LS-mean for all factors in a Generalized linear mixed model.   Julian Gaviria Lopez
  • [R-sig-ME] Is it possible to compute pairwise differences of LS-mean for all factors in a Generalized linear mixed model.   Guillaume Adeux
• [R-sig-ME] Nested random effects in mgcv gam/bam   Mathew Guilfoyle
  • [R-sig-ME] R: Nested random effects in mgcv gam/bam   Voeten, C.C.
    • [R-sig-ME] Nested random effects in mgcv gam/bam   Mathew Guilfoyle
      • [R-sig-ME] Nested random effects in mgcv gam/bam   Cesko Voeten
• [R-sig-ME] Dyadic growth curve   Marta Vigier

Last message date: Fri Jun 28 11:02:34 CEST 2019
Archived on: Fri Jun 28 17:31:27 CEST 2019

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