First quarter 2018 Archives by date

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Starting: Tue Jan 2 09:00:53 CET 2018
Ending: Sat Mar 31 15:20:00 CEST 2018
Messages: 356

• [R-sig-ME] LMM power analysis   Luis Fernando García
• [R-sig-ME] Continuous vs. categorical correlated group effects   Drager, Andrea Pilar
• [R-sig-ME] Continuous vs. categorical correlated group effects   Ben Bolker
• [R-sig-ME] Continuous vs. categorical correlated group effects   Drager, Andrea Pilar
• [R-sig-ME] Continuous vs. categorical correlated group effects   Ben Bolker
• [R-sig-ME] LMM power analysis   Paul Johnson
• [R-sig-ME] Unevely-spaced time dependency in a multiple-river dataset   Alessandro Manfrin
• [R-sig-ME] Unevely-spaced time dependency in a multiple-river dataset   Rich Shepard
• [R-sig-ME] Continuous vs. categorical correlated group effects   Drager, Andrea Pilar
• [R-sig-ME] Continuous vs. categorical correlated group effects   Ben Bolker
• [R-sig-ME] Fwd: Re: Plotting partial residuals from a glmmADMB model   Ben Bolker
• [R-sig-ME] Defining interaction in random effects in lme4   Dominik Ćepulić
• [R-sig-ME] Defining interaction in random effects in lme4   Dominik Ćepulić
• [R-sig-ME] Fitting CorAR1 in lme with multiple time series   Alessandro Manfrin
• [R-sig-ME] new afex version on CRAN: full emmeans support   Henrik Singmann
• [R-sig-ME] spatial autocorrelation as random effect with count data   Sima Usvyatsov
• [R-sig-ME] spatial autocorrelation as random effect with count data   Paul Buerkner
• [R-sig-ME] spatial autocorrelation as random effect with count data   Ben Bolker
• [R-sig-ME] spatial autocorrelation as random effect with count data   Ben Bolker
• [R-sig-ME] spatial autocorrelation as random effect with, count data   Highland Statistics Ltd
• [R-sig-ME] spatial autocorrelation as random effect with, count data   Rich Shepard
• [R-sig-ME] spatial autocorrelation as random effect with, count data   Rich Shepard
• [R-sig-ME] spatial autocorrelation as random effect with count data   Sima Usvyatsov
• [R-sig-ME] spatial autocorrelation as random effect with count data   Paul Buerkner
• [R-sig-ME] Different results for between/within groups and within group regression analyses   Luca Danieli
• [R-sig-ME] Different results for between/within groups and within group regression analyses   Alday, Phillip
• [R-sig-ME] Different results for between/within groups and within group regression analyses   Luca Danieli
• [R-sig-ME] Different results for between/within groups and within group regression analyses   Alday, Phillip
• [R-sig-ME] spatial autocorrelation as random effect with count data   Sima Usvyatsov
• [R-sig-ME] spatial autocorrelation as random effect with count data   Ben Bolker
• [R-sig-ME] spatial autocorrelation as random effect with count data   Paul Lantos
• [R-sig-ME] Different results for between/within groups and within group regression analyses   Luca Danieli
• [R-sig-ME] cross-sex genetic correlation   Simona Kralj Fiser
• [R-sig-ME] cross-sex genetic correlation   Jarrod Hadfield
• [R-sig-ME] show p_value for the interaction between two main effects   Luca Danieli
• [R-sig-ME] tensor term by a factor in gamm4 error   Maria Lathouri
• [R-sig-ME] show p_value for the interaction between two main effects   Luca Danieli
• [R-sig-ME] subjects within groups and effects of group   P Greenwood
• [R-sig-ME] show p_value for the interaction between two main effects   Ben Bolker
• [R-sig-ME] How can I make R using more than 1 core (8 available) on a Ubuntu Rstudio server ?   Nicolas Bédère
• [R-sig-ME] How can I make R using more than 1 core (8 available) on a Ubuntu Rstudio server ?   Douglas Bates
• [R-sig-ME] How can I make R using more than 1 core (8 available) on a Ubuntu Rstudio server ?   Doran, Harold
• [R-sig-ME] How can I make R using more than 1 core (8 available) on a Ubuntu Rstudio server ?   Douglas Bates
• [R-sig-ME] How can I make R using more than 1 core (8 available) on a Ubuntu Rstudio server ?   Douglas Bates
• [R-sig-ME] How can I make R using more than 1 core (8 available) on a Ubuntu Rstudio server ?   Ben Bolker
• [R-sig-ME] How can I make R using more than 1 core (8 available) on a Ubuntu Rstudio server ?   Doran, Harold
• [R-sig-ME] How can I make R using more than 1 core (8 available) on a Ubuntu Rstudio server ?   Nicolas Bédère
• [R-sig-ME] subjects within groups and effects of group   Thierry Onkelinx
• [R-sig-ME] subjects within groups and effects of group   Phillip Alday
• [R-sig-ME] subjects within groups and effects of group   P Greenwood
• [R-sig-ME] Help - I have an underdispersed glmm :(   Juan Dueñas
• [R-sig-ME] Help - I have an underdispersed glmm :(   Ben Bolker
• [R-sig-ME] Accounting for dv score's validity using weights - metafor or lme4?   Isaac Fradkin
• [R-sig-ME] Accounting for dv score's validity using weights - metafor or lme4?   Viechtbauer Wolfgang (SP)
• [R-sig-ME] Df for 'random-intercept-only' model   Maarten Jung
• [R-sig-ME] How can I make R using more than 1 core (8 available) on a Ubuntu Rstudio server ?   Hans Ekbrand
• [R-sig-ME] Help - I have an underdispersed glmm :(   Juan F Dueñas
• [R-sig-ME] subjects within groups and effects of group   P Greenwood
• [R-sig-ME] residual variance estimates fixed to 1   Lindner, Melanie
• [R-sig-ME] residual variance estimates fixed to 1   Jake Westfall
• [R-sig-ME] residual variance estimates fixed to 1   Viechtbauer Wolfgang (SP)
• [R-sig-ME] residual variance estimates fixed to 1   Jake Westfall
• [R-sig-ME] glmmPQL: random effects   Cueva, Jorge
• [R-sig-ME] Df for 'random-intercept-only' model   Rune Haubo
• [R-sig-ME] Specifying the correct LMM for 'unsual' data   Maarten Jung
• [R-sig-ME] glmmPQL: random effects   Ben Bolker
• [R-sig-ME] Specifying the correct LMM for 'unsual' data   Tom Fritzsche
• [R-sig-ME] subjects within groups and effects of group   Thierry Onkelinx
• [R-sig-ME] bug or numerical problem in nlme's corCAR1   Ferenci Tamas
• [R-sig-ME] bug or numerical problem in nlme's corCAR1   Fox, John
• [R-sig-ME] bug or numerical problem in nlme's corCAR1   Ben Bolker
• [R-sig-ME] bug or numerical problem in nlme's corCAR1   Fox, John
• [R-sig-ME] bug or numerical problem in nlme's corCAR1   Ferenci Tamas
• [R-sig-ME] bug or numerical problem in nlme's corCAR1   Ferenci Tamas
• [R-sig-ME] Different results for between/within groups and within group regression analyses   Alday, Phillip
• [R-sig-ME] bug or numerical problem in nlme's corCAR1   Fox, John
• [R-sig-ME] subjects within groups and effects of group   Alday, Phillip
• [R-sig-ME] bug or numerical problem in nlme's corCAR1   Ben Bolker
• [R-sig-ME] Different results for between/within groups and within group regression analyses   Christoph Scherber
• [R-sig-ME] Specifying the correct LMM for 'unsual' data   Maarten Jung
• [R-sig-ME] Df for 'random-intercept-only' model   Maarten Jung
• [R-sig-ME] subjects within groups and effects of group   P Greenwood
• [R-sig-ME] bootstrapping coefficient p-values under null hypothesis in case-resampling multiple linear mixed-effects regression   Aleksander Główka
• [R-sig-ME] bootstrapping coefficient p-values under null hypothesis in case-resampling multiple linear mixed-effects regression   Ben Bolker
• [R-sig-ME] bootstrapping coefficient p-values under null hypothesis in case-resampling multiple linear mixed-effects regression   Robert LaBudde
• [R-sig-ME] How to compare two coefficent estimates in a multilevel model?   Blazej Mrozinski
• [R-sig-ME] bootstrapping coefficient p-values under null hypothesis in case-resampling multiple linear mixed-effects regression   Aleksander Główka
• [R-sig-ME] How to compare two coefficent estimates in a multilevel model?   Thierry Onkelinx
• [R-sig-ME] How to compare two coefficent estimates in a multilevel model?   Blazej Mrozinski
• [R-sig-ME] How to compare two coefficent estimates in a multilevel model?   Thierry Onkelinx
• [R-sig-ME] Computing reliability for the least squares estimates of each level1 coefficient across the set of J level-2 units   Blazej Mrozinski
• [R-sig-ME] Computing reliability for the least squares estimates of each level1 coefficient across the set of J level-2 units   Doran, Harold
• [R-sig-ME] Computing reliability for the least squares estimates of each level1 coefficient across the set of J level-2 units   Blazej Mrozinski
• [R-sig-ME] Computing reliability for the least squares estimates of each level1 coefficient across the set of J level-2 units   Doran, Harold
• [R-sig-ME] Computing reliability for the least squares estimates of each level1 coefficient across the set of J level-2 units   Doran, Harold
• [R-sig-ME] Computing reliability for the least squares estimates of each level1 coefficient across the set of J level-2 units   Doran, Harold
• [R-sig-ME] Gaussian linear mixed model with non-constant variance   Peter Geelan-Small
• [R-sig-ME] gls() vs. lmer() random effects estimation   Maarten Jung
• [R-sig-ME] subjects within groups and effects of group   Phillip Alday
• [R-sig-ME] subjects within groups and effects of group   Phillip Alday
• [R-sig-ME] question on glme   Nicholas Mitsakakis
• [R-sig-ME] model specification for repeated measure   Dot Dumuid
• [R-sig-ME] model specification for repeated measure   Thierry Onkelinx
• [R-sig-ME] model specification for repeated measure   Dot Dumuid
• [R-sig-ME] model specification for repeated measure   Malcolm Fairbrother
• [R-sig-ME] model specification for repeated measure   Dot Dumuid
• [R-sig-ME] What is the default covariance structure in the glmmPQL function (MASS package)?   Gerda Börner
• [R-sig-ME] ICC for glmer Poisson   dani
• [R-sig-ME] Empirical Bayes and mixed effects modeling - are these the same thing?   Joshua Rosenberg
• [R-sig-ME] ICC for glmer Poisson   Paul Johnson
• [R-sig-ME] model specification for repeated measure   Steve Candy
• [R-sig-ME] Empirical Bayes and mixed effects modeling - are these the same thing?   Poe, John
• [R-sig-ME] MCMCglmm for Estimated Breeding Values   Ambreen Hamadani
• [R-sig-ME] MCMCglmm for Estimated Breeding Values   HADFIELD Jarrod
• [R-sig-ME] What is the default covariance structure in the glmmPQL function (MASS package)?   Voeten, C.C.
• [R-sig-ME] ICC for glmer Poisson   dani
• [R-sig-ME] R^2 for linear mixed effects models with glmer()   ASANTOS
• [R-sig-ME] R^2 for linear mixed effects models with glmer()   Thierry Onkelinx
• [R-sig-ME] GoodnessOfFit-and-PseudoR²computingFor-glmmTMB-models   C. AMAL D. GLELE
• [R-sig-ME] GoodnessOfFit-and-PseudoR²computingFor-glmmTMB-models   Paul Johnson
• [R-sig-ME] glmer and weights   Nicholas Mitsakakis
• [R-sig-ME] R^2 for linear mixed effects models with glmer()   ASANTOS
• [R-sig-ME] R^2 for linear mixed effects models with glmer()   ASANTOS
• [R-sig-ME] GoodnessOfFit-and-PseudoR²computingFor-glmmTMB-models   C. AMAL D. GLELE
• [R-sig-ME] R^2 for linear mixed effects models with glmer()   Thierry Onkelinx
• [R-sig-ME] R^2 for linear mixed effects models with glmer()   ASANTOS
• [R-sig-ME] GoodnessOfFit-and-PseudoR²computingFor-glmmTMB-models   Paul Johnson
• [R-sig-ME] GoodnessOfFit-and-PseudoR²computingFor-glmmTMB-models   C. AMAL D. GLELE
• [R-sig-ME] model specification for repeated measure   Dot Dumuid
• [R-sig-ME] Plotting MCMCglmm regression with credible intervals   jonnations
• [R-sig-ME] Plotting MCMCglmm regression with credible intervals   Jarrod Hadfield
• [R-sig-ME] Repeated Measures Design With lme Function   Telli Davoodi
• [R-sig-ME] error in glmmTMB when adding glmmTMBControl: unused arguments   Diego Pavon
• [R-sig-ME] error in glmmTMB when adding glmmTMBControl: unused arguments   Ben Bolker
• [R-sig-ME] error in glmmTMB when adding glmmTMBControl: unused arguments   Mollie Brooks
• [R-sig-ME] Repeated Measures Design With lme Function   Thierry Onkelinx
• [R-sig-ME] Repeated Measures Design With lme Function   Telli Davoodi
• [R-sig-ME] How can I make R using more than 1 core (8 available) on a Ubuntu Rstudio server ?   Nicolas Bédère
• [R-sig-ME] correlation between random effects   Jana Dlouha
• [R-sig-ME] correlation between random effects   Thierry Onkelinx
• [R-sig-ME] Repeated Measures Design With lme Function   Thierry Onkelinx
• [R-sig-ME] error in glmmTMB when adding glmmTMBControl: unused arguments   Diego Pavon
• [R-sig-ME] correlation between random effects   Thierry Onkelinx
• [R-sig-ME] How can I make R using more than 1 core (8 available) on a Ubuntu Rstudio server ?   Paul Johnson
• [R-sig-ME] correlation between random effects   Jana Dlouha
• [R-sig-ME] correlation between random effects   Ben Bolker
• [R-sig-ME] correlation between random effects   Thierry Onkelinx
• [R-sig-ME] Mixed Models in SAS and R   Bertke, Stephen (CDC/NIOSH/DSHEFS)
• [R-sig-ME] Mixed Models in SAS and R   Thierry Onkelinx
• [R-sig-ME] Mixed Models in SAS and R   Bertke, Stephen (CDC/NIOSH/DSHEFS)
• [R-sig-ME] correlation between random effects   Jana Dlouha
• [R-sig-ME] correlation between random effects   Thierry Onkelinx
• [R-sig-ME] Mixed Models in SAS and R   Bertke, Stephen (CDC/NIOSH/DSHEFS)
• [R-sig-ME] Mixed Models in SAS and R   Peter Claussen
• [R-sig-ME] Mixed Models in SAS and R   Bertke, Stephen (CDC/NIOSH/DSHEFS)
• [R-sig-ME] Mixed Models in SAS and R   Baldwin, Jim -FS
• [R-sig-ME] Mixed Models in SAS and R   Bertke, Stephen (CDC/NIOSH/DSHEFS)
• [R-sig-ME] Mixed Models in SAS and R   Bertke, Stephen (CDC/NIOSH/DSHEFS)
• [R-sig-ME] Mixed Models in SAS and R   John Maindonald
• [R-sig-ME] Mixed Models in SAS and R   Ben Bolker
• [R-sig-ME] random intercept or nested random?   Julia Chacon Labella
• [R-sig-ME] degrees of freedom in Gamma GLMMs   Klaus, J. (Jana)
• [R-sig-ME] random intercept or nested random?   Thierry Onkelinx
• [R-sig-ME] degrees of freedom in Gamma GLMMs   Henrik Singmann
• [R-sig-ME] degrees of freedom in Gamma GLMMs   Ben Bolker
• [R-sig-ME] degrees of freedom in Gamma GLMMs   Henrik Singmann
• [R-sig-ME] degrees of freedom in Gamma GLMMs   Ben Bolker
• [R-sig-ME] specifying initial starting values in glmmTMB   Diego Pavon
• [R-sig-ME] Specifying a (random effect for an) interaction among two level 1 variables?   Joshua Rosenberg
• [R-sig-ME] Specifying a (random effect for an) interaction among two level 1 variables?   Emmanuel Curis
• [R-sig-ME] Specifying a (random effect for an) interaction among two level 1 variables?   Thierry Onkelinx
• [R-sig-ME] Specifying a (random effect for an) interaction among two level 1 variables?   Emmanuel Curis
• [R-sig-ME] Specify multiple nested random effects in lme with heteroskedastic variance across group   suraj keshri
• [R-sig-ME] prediction in glmer   Schlattmann, Peter
• [R-sig-ME] prediction with glmer   Schlattmann, Peter
• [R-sig-ME] prediction with glmer   Phillip Alday
• [R-sig-ME] prediction with glmer   Phillip Alday
• [R-sig-ME] variance inflation factor   Toni Hernandez-Matias
• [R-sig-ME] variance inflation factor   Fox, John
• [R-sig-ME] variance inflation factor   Toni Hernandez-Matias
• [R-sig-ME] variance inflation factor   Ben Bolker
• [R-sig-ME] variance inflation factor   Fox, John
• [R-sig-ME] variance inflation factor   Toni Hernandez-Matias
• [R-sig-ME] variance inflation factor   Ben Bolker
• [R-sig-ME] variance inflation factor   Fox, John
• [R-sig-ME] variance inflation factor   Ben Bolker
• [R-sig-ME] variance inflation factor   Fox, John
• [R-sig-ME] variance inflation factor   Martin Maechler
• [R-sig-ME] prediction in glmer   Ista Zahn
• [R-sig-ME] variance inflation factor   Fox, John
• [R-sig-ME] zero-inflated-count-data?   C. AMAL D. GLELE
• [R-sig-ME] zero-inflated-count-data?   Ben Bolker
• [R-sig-ME] zero-inflated-count-data?   C. AMAL D. GLELE
• [R-sig-ME] zero-inflated-count-data?   Jonathan Judge
• [R-sig-ME] zero-inflated-count-data?   Thierry Onkelinx
• [R-sig-ME] Mixed model on few individuals   Simon POTIER
• [R-sig-ME] zero-inflated-count-data?   Highland Statistics Ltd
• [R-sig-ME] zero-inflated-count-data?   C. AMAL D. GLELE
• [R-sig-ME] Error message in running CLMM models from Ordinal package: "optimizer nlminb failed to converge"   OZOLS Davis
• [R-sig-ME] means , CIs from lmer, glmer   Kornbrot, Diana
• [R-sig-ME] zero-inflated-count-data?   Highland Statistics Ltd
• [R-sig-ME] means , CIs from lmer, glmer   Ben Bolker
• [R-sig-ME] zero-inflated-count-data?   Ben Bolker
• [R-sig-ME] Longitudinal logistic regression with continuous-time first-order autocorrelation structure   Dennis Ruenger
• [R-sig-ME] Longitudinal logistic regression with, continuous-time first-order autocorrelation structure   Highland Statistics Ltd
• [R-sig-ME] Including random effects creates structure in the residuals   Pierre de Villemereuil
• [R-sig-ME] R-sig-mixed-models Digest, Vol 134, Issue 39   Kornbrot, Diana
• [R-sig-ME] Error message in running CLMM models from Ordinal package: "optimizer nlminb failed to converge"   Rune Haubo
• [R-sig-ME] means , CIs from lmer, glmer   Rune Haubo
• [R-sig-ME] Including random effects creates structure in the residuals   Paul Johnson
• [R-sig-ME] means , CIs from lmer, glmer   Ben Bolker
• [R-sig-ME] Including random effects creates structure in the residuals   Pierre de Villemereuil
• [R-sig-ME] Including random effects creates structure in the residuals   Peter Claussen
• [R-sig-ME] means , CIs from lmer, glmer   Rune Haubo
• [R-sig-ME] Including random effects creates structure in the residuals   Pierre de Villemereuil
• [R-sig-ME] Longitudinal logistic regression with continuous-time first-order autocorrelation structure   Ben Pelzer
• [R-sig-ME] Longitudinal logistic regression with continuous-time first-order autocorrelation structure   Ben Pelzer
• [R-sig-ME] Error message in running CLMM models from Ordinal package: "optimizer nlminb failed to converge"   OZOLS Davis
• [R-sig-ME] Longitudinal logistic regression with continuous-time first-order autocorrelation structure   Dennis Ruenger
• [R-sig-ME] Longitudinal logistic regression with continuous-time first-order autocorrelation structure   Ben Bolker
• [R-sig-ME] Longitudinal logistic regression with continuous-time first-order autocorrelation structure   Steven J. Pierce
• [R-sig-ME] QGglmm multivariate with fixed effects   Walid Mawass
• [R-sig-ME] QGglmm multivariate with fixed effects   Pierre de Villemereuil
• [R-sig-ME] GLMM - Prediction   Cleber Iack
• [R-sig-ME] GLMM - Prediction   Thierry Onkelinx
• [R-sig-ME] How do I account for Unbalanced Observation-per-group in Linear Mixed Effect Models?   Alessandro Manfrin
• [R-sig-ME] Longitudinal logistic regression with continuous-time first-order autocorrelation structure   Thierry Onkelinx
• [R-sig-ME] priors in multilevel modeling   Poe, John
• [R-sig-ME] Longitudinal logistic regression with continuous-time first-order autocorrelation structure   Dennis Ruenger
• [R-sig-ME] GLMM - Prediction   Cleber Iack
• [R-sig-ME] Random effect in GAM   Vaniscotte Amélie
• [R-sig-ME] GLMM - Prediction   Ben Bolker
• [R-sig-ME] GLMM - Prediction   Cleber Iack
• [R-sig-ME] factor-specific random-effects variance   Torleif Halkjelsvik
• [R-sig-ME] How to extract and understand heterogeneous variances in mixed-effects models   Daniel Hammarström
• [R-sig-ME] Estimates for groups within fixed effects & also: enough info for estimating variance? MCMCglmm   Drager, Andrea Pilar
• [R-sig-ME] Large variance and SD for random effects   cumuluss
• [R-sig-ME] Large variance and SD for random effects   Thierry Onkelinx
• [R-sig-ME] How do I account for Unbalanced Observation-per-group in Linear Mixed Effect Models?   Thierry Onkelinx
• [R-sig-ME] Mixed model on few individuals   Thierry Onkelinx
• [R-sig-ME] Estimates for groups within fixed effects & also: enough info for estimating variance? MCMCglmm   Jarrod Hadfield
• [R-sig-ME] Large variance and SD for random effects   cumuluss
• [R-sig-ME] Large variance and SD for random effects   Thierry Onkelinx
• [R-sig-ME] Longitudinal logistic regression with continuous-time first-order autocorrelation structure   Thierry Onkelinx
• [R-sig-ME] Large variance and SD for random effects   cumuluss
• [R-sig-ME] Estimates for groups within fixed effects & also: enough info for estimating variance? MCMCglmm   Drager, Andrea Pilar
• [R-sig-ME] Mixed model on few individuals   Simon POTIER
• [R-sig-ME] Estimates for groups within fixed effects & also: enough info for estimating variance? MCMCglmm   HADFIELD Jarrod
• [R-sig-ME] Setting Theta for NB models   Dan Smith
• [R-sig-ME] Question about conditional R-squared values (and its relationship to the intra-class correlation)   Joshua Rosenberg
• [R-sig-ME] question regarding predictor variable   Sally A. Roman
• [R-sig-ME] Mixed-Model-Accounting-Spatial_Correlation   C. AMAL D. GLELE
• [R-sig-ME] Mixed-Model-Accounting-Spatial_Correlation   Highland Statistics Ltd
• [R-sig-ME] R-sig-mixed-models Digest, Vol 135, Issue 14   C. AMAL D. GLELE
• [R-sig-ME] Response_type_and_distribution_in_gls   Highland Statistics Ltd
• [R-sig-ME] Response_type_and_distribution_in_gls   C. AMAL D. GLELE
• [R-sig-ME] question regarding predictor variable   Steve Candy
• [R-sig-ME] Serial correlation in random effects   Daniel Bartling
• [R-sig-ME] Serial correlation in random effects   Thierry Onkelinx
• [R-sig-ME] Serial correlation in random effects   Daniel Bartling
• [R-sig-ME] Serial correlation in random effects   Thierry Onkelinx
• [R-sig-ME] Data augmentation in TMB?   Marie RESCAN
• [R-sig-ME] Data augmentation in TMB?   Mollie Brooks
• [R-sig-ME] GAMM4: temporal autocorrelation? (GAM, binomial data, random effect)   Tagmarie
• [R-sig-ME] GAMM4: temporal autocorrelation?   Highland Statistics Ltd
• [R-sig-ME] different overdispersion parameter for binomial GLMM in lme4, glmmADMB and glmmTMB   Thomas Merkling
• [R-sig-ME] different overdispersion parameter for binomial GLMM in lme4, glmmADMB and glmmTMB   Muldoon, Ariel
• [R-sig-ME] different overdispersion parameter for binomial GLMM in lme4, glmmADMB and glmmTMB   Ben Bolker
• [R-sig-ME] different overdispersion parameter for binomial GLMM in lme4, glmmADMB and glmmTMB   Thomas Merkling
• [R-sig-ME] different overdispersion parameter for binomial GLMM in lme4, glmmADMB and glmmTMB   Ben Bolker
• [R-sig-ME] different overdispersion parameter for binomial GLMM in, lme4, glmmADMB and glmmTMB (Muldoon, Ariel)   Highland Statistics Ltd
• [R-sig-ME] MCMCglmm solutions vs quantiles   Steve Candy
• [R-sig-ME] Summing Across Items within a condition   Katherine Gordon
• [R-sig-ME] Summing Across Items within a condition   Dan Brooks
• [R-sig-ME] Summing Across Items within a condition   Katherine Gordon
• [R-sig-ME] Refitting model with ML -- why search for optimal theta again?   Voeten, C.C.
• [R-sig-ME] Refitting model with ML -- why search for optimal theta again?   Jake Westfall
• [R-sig-ME] different overdispersion parameter for binomial GLMM in, lme4, glmmADMB and glmmTMB (Muldoon, Ariel)   John Maindonald
• [R-sig-ME] Repeated-measures analysis with count data following a negative-binomial distribution   VINCENT KOPPELMANS
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Maarten Jung
• [R-sig-ME] Refitting model with ML -- why search for optimal theta again?   Christoph Huber
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Phillip Alday
• [R-sig-ME] Repeated-measures analysis with count data following a negative-binomial distribution   Thierry Onkelinx
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Ben Pelzer
• [R-sig-ME] GLMM power analysis   Louise Heitzmann
• [R-sig-ME] GLMM power analysis   Ben Bolker
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Maarten Jung
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Phillip Alday
• [R-sig-ME] Repeated-measures analysis with count data following a negative-binomial distribution   Paul Johnson
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Ben Pelzer
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Mollie Brooks
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Douglas Bates
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Rune Haubo
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Ben Pelzer
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Maarten Jung
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Ben Pelzer
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Maarten Jung
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Ben Pelzer
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Maarten Jung
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Phillip Alday
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Ben Pelzer
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Rune Haubo
• [R-sig-ME] How does one include a factor in a groupedData object; What is the meaning and use of inner and outer parameters of groupedData object?   Sorkin, John
• [R-sig-ME] How does one include a factor in a groupedData object; What is the meaning and use of inner and outer parameters of groupedData object?   Sorkin, John
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Maarten Jung
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Rune Haubo
• [R-sig-ME] adjusted values   Cristiano Alessandro
• [R-sig-ME] adjusted values   Ben Bolker
• [R-sig-ME] How does one include a factor in a groupedData object; What is the meaning and use of inner and outer parameters of groupedData object?   Ben Bolker
• [R-sig-ME] What is the lmer/nlme equivalent of the REPEATED subcommand in SPSS's MIXED procedure?   Maarten Jung
• [R-sig-ME] prevent for-loop from stopping after an lmer warning/error   Aleksander Adam Glowka
• [R-sig-ME] prevent for-loop from stopping after an lmer warning/error   Andrew Robinson
• [R-sig-ME] prevent for-loop from stopping after an lmer warning/error   Diogo Melo
• [R-sig-ME] Crossover design, degrees of freedom for t test   Michael Young
• [R-sig-ME] adjusted values   Rune Haubo
• [R-sig-ME] adjusted values   Lenth, Russell V
• [R-sig-ME] adjusted values   Cristiano Alessandro
• [R-sig-ME] adjusted values   Cristiano Alessandro
• [R-sig-ME] adjusted values   Lenth, Russell V
• [R-sig-ME] New re-written version of lmerTest will soon be released - please test, use and comment   Rune Haubo
• [R-sig-ME] glmmTMB: model forumlation and prediction questions   Daniel B
• [R-sig-ME] Setting DDFM and Covariance Structure for Mixed Models in R   Isaac Salfer
• [R-sig-ME] prevent for-loop from stopping after an lmer warning/error   Ben Bolker
• [R-sig-ME] Question about gls   Louise Ryan
• [R-sig-ME] Question about gls   Dan Brooks
• [R-sig-ME] Question about gls   Andrzej Galecki
• [R-sig-ME] [FORGED] Re: Question about gls   Rolf Turner
• [R-sig-ME] prevent for-loop from stopping after an lmer warning/error   Aleksander Adam Glowka
• [R-sig-ME] [FORGED] Re: Question about gls --- whoops!!!   Rolf Turner
• [R-sig-ME] [FORGED] Re: Question about gls --- whoops!!!   Louise Ryan
• [R-sig-ME] [FORGED] Re: Question about gls --- whoops!!!   Douglas Bates
• [R-sig-ME] [FORGED] Re: Question about gls --- whoops!!!   Rolf Turner
• [R-sig-ME] prevent for-loop from stopping after an lmer warning/error   Ben Bolker
• [R-sig-ME] Question about gls   Berwin A Turlach
• [R-sig-ME] [FORGED] Re: Question about gls   Berwin A Turlach
• [R-sig-ME] [FORGED] Re: Question about gls --- whoops!!!   Berwin A Turlach
• [R-sig-ME] [FORGED] Re: Question about gls --- whoops!!!   Berwin A Turlach
• [R-sig-ME] Simulating linear mixed model data for factorial design with 3 levels   Maarten Jung
• [R-sig-ME] Constraining error variance to 0 in an lmer() model.   Rolf Turner
• [R-sig-ME] [FORGED] Re: Question about gls --- whoops!!!   Rolf Turner
• [R-sig-ME] Constraining error variance to 0 in an lmer() model.   Rolf Turner
• [R-sig-ME] Constraining error variance to 0 in an lmer() model.   Douglas Bates
• [R-sig-ME] thoughts on variable importance   Farrar, David
• [R-sig-ME] thoughts on variable importance   Ben Bolker
• [R-sig-ME] thoughts on variable importance   Farrar, David
• [R-sig-ME] thoughts on variable importance   Thierry Onkelinx
• [R-sig-ME] thoughts on variable importance   Farrar, David
• [R-sig-ME] COURSE - Introduction to Mixed (Hierarchical) models for biologists using R   Oliver Hooker
• [R-sig-ME] FW: Estimating an "unbalanced" SUR with gls   Lehner, Stephan
• [R-sig-ME] geometric mean regression   Ahmad
• [R-sig-ME] R-sig-mixed-models Digest, Vol 134, Issue 42   Kornbrot, Diana
• [R-sig-ME] gamm4 package plot and confidence intervals   Maurizio Marchi
• [R-sig-ME] Simulating linear mixed model data for factorial design with 3 levels   Maarten Jung
• [R-sig-ME] gamm4 package plot and confidence intervals   João Veríssimo
• [R-sig-ME] use a posterior distribution from one model as fixed effect in another model   David Villegas Ríos
• [R-sig-ME] geometric mean regression   Kevin E. Thorpe

Last message date: Sat Mar 31 15:20:00 CEST 2018
Archived on: Sat Mar 31 15:20:16 CEST 2018

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