R-SIG-mixed-models October 2017
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Binomial glmer with time dependency
1 msg
Binomial glmer with time dependency
Course in Lisbon: Introduction to Linear Mixed Effects Models and GLMM with R
1 msg
Course in Lisbon: Introduction to Linear Mixed Effects Models and GLMM with R
Course: Introduction to regression models with spatial and temporal correlation using R-INLA
1 msg
Course: Introduction to regression models with spatial and temporal correlation using R-INLA
Extracting standardized residuals from a gamma(log) glmmTMB
1 msg
Extracting standardized residuals from a gamma(log) glmmTMB
Extracting standardized residuals from a gamma(log) glmmTMB
4 msgs
Extracting standardized residuals from a gamma(log) glmmTMB
Aoibheann Gaughran
Extracting standardized residuals from a gamma(log) glmmTMB
Oct 17, 2017
Mollie Brooks
Extracting standardized residuals from a gamma(log) glmmTMB
Oct 17, 2017
Ben Bolker
Extracting standardized residuals from a gamma(log) glmmTMB
Oct 17, 2017
Ben Bolker
Extracting standardized residuals from a gamma(log) glmmTMB
Oct 17, 2017
Gamma-shape parameter extraction
1 msg
Gamma-shape parameter extraction
How to specify user-defined matrix Z?
2 msgs
How to specify user-defined matrix Z?
Linear mixed model in lme4
1 msg
Linear mixed model in lme4
MCMCglmm binary data
3 msgs
MCMCglmm binary data
Mixed model with dependent compositional data
2 msgs
Mixed model with dependent compositional data
Mixed models with dependent compositional data
1 msg
Mixed models with dependent compositional data
Model within subjects treatment variable and multiple measurements per treatment: is this the correct model?
2 msgs
Model within subjects treatment variable and multiple measurements per treatment: is this the correct model?
Normal data vs normal residuals
2 msgs
Normal data vs normal residuals
Questions about design and convergence warnings
7 msgs
Questions about design and convergence warnings
Dube, Umber
Questions about design and convergence warnings
Oct 3, 2017
Ben Bolker
Questions about design and convergence warnings
Oct 3, 2017
Farrar, David
Questions about design and convergence warnings
Oct 3, 2017
Dube, Umber
Questions about design and convergence warnings
Oct 4, 2017
Farrar, David
Questions about design and convergence warnings
Oct 4, 2017
Thierry Onkelinx
Questions about design and convergence warnings
Oct 4, 2017
Dube, Umber
Questions about design and convergence warnings
Oct 4, 2017
Residual Variance or Dispersion of Gamma GLMER
4 msgs
Residual Variance or Dispersion of Gamma GLMER
andreu blanco
Residual Variance or Dispersion of Gamma GLMER
Oct 25, 2017
Highland Statistics Ltd
Residual Variance or Dispersion of Gamma GLMER
Oct 25, 2017
Ben Bolker
Residual Variance or Dispersion of Gamma GLMER
Oct 25, 2017
andreu blanco
Residual Variance or Dispersion of Gamma GLMER
Oct 26, 2017
Using LRT with alpha = .2 in model reduction guided by PCA
1 msg
Using LRT with alpha = .2 in model reduction guided by PCA
ZINB model validation and interpretation
1 msg
ZINB model validation and interpretation
ZIP MCMCglmm - how to increase effective sample size?
1 msg
ZIP MCMCglmm - how to increase effective sample size?
adding objects into "glmerMod" fits
3 msgs
adding objects into "glmerMod" fits
broom package and MCMCglmm estimates
7 msgs
broom package and MCMCglmm estimates
dani
broom package and MCMCglmm estimates
Oct 24, 2017
Pierre de Villemereuil
broom package and MCMCglmm estimates
Oct 24, 2017
dani
broom package and MCMCglmm estimates
Oct 24, 2017
Ben Bolker
broom package and MCMCglmm estimates
Oct 24, 2017
dani
broom package and MCMCglmm estimates
Oct 24, 2017
HAJDUK Gabriela
broom package and MCMCglmm estimates
Oct 25, 2017
dani
broom package and MCMCglmm estimates
Oct 25, 2017
coefplot2 in conjunction with glmmTMB and glmer
3 msgs
coefplot2 in conjunction with glmmTMB and glmer
compare two GAMM4 models using AICs
5 msgs
compare two GAMM4 models using AICs
dani
compare two GAMM4 models using AICs
Oct 24, 2017
Highland Statistics Ltd
compare two GAMM4 models using AICs
Oct 24, 2017
dani
compare two GAMM4 models using AICs
Oct 24, 2017
Highland Statistics Ltd
compare two GAMM4 models using AICs
Oct 25, 2017
dani
compare two GAMM4 models using AICs
Oct 25, 2017
constrain random effect in lmer (fitting reduced model for calculation of Cohen's f2)
1 msg
constrain random effect in lmer (fitting reduced model for calculation of Cohen's f2)
degree of freedom is non-integer from lmerTest
2 msgs
degree of freedom is non-integer from lmerTest
effective sample size in MCMCglmm
5 msgs
effective sample size in MCMCglmm
fitting a MCMCglmm zero-inflated model
3 msgs
fitting a MCMCglmm zero-inflated model
glmmADMB errors
6 msgs
glmmADMB errors
https://stats.stackexchange.com/questions/301763/using-random-effect-predictions-in-other-models?noredirect=1#comment573574_301763
5 msgs
https://stats.stackexchange.com/questions/301763/using-random-effect-predictions-in-other-models?noredirect=1#comment573574_301763
Joshua Rosenberg
https://stats.stackexchange.com/questions/301763/using-random-effect-predictions-in-other-models?noredirect=1#comment573574_301763
Oct 4, 2017
Houslay, Tom
https://stats.stackexchange.com/questions/301763/using-random-effect-predictions-in-other-models?noredirect=1#comment573574_301763
Oct 4, 2017
Joshua Rosenberg
https://stats.stackexchange.com/questions/301763/using-random-effect-predictions-in-other-models?noredirect=1#comment573574_301763
Oct 4, 2017
Jarrod Hadfield
https://stats.stackexchange.com/questions/301763/using-random-effect-predictions-in-other-models?noredirect=1#comment573574_301763
Oct 4, 2017
Houslay, Tom
https://stats.stackexchange.com/questions/301763/using-random-effect-predictions-in-other-models?noredirect=1#comment573574_301763
Oct 5, 2017
mixed-effects model with partially nested fixed effects
2 msgs
mixed-effects model with partially nested fixed effects
prior specification for bivariate MCMCglmm model
1 msg
prior specification for bivariate MCMCglmm model
r-sig-mixed-models@r-project.org: multiple dependent variables in lmer()
3 msgs
r-sig-mixed-models@r-project.org: multiple dependent variables in lmer()
Dumuid, Dorothea - tridy002
r-sig-mixed-models@r-project.org: multiple dependent variables in lmer()
Oct 14, 2017
Viechtbauer Wolfgang (STAT)
r-sig-mixed-models@r-project.org: multiple dependent variables in lmer()
Oct 19, 2017
Dumuid, Dorothea - tridy002
r-sig-mixed-models@r-project.org: multiple dependent variables in lmer()
Oct 22, 2017
random slope and intercept in gamlss
1 msg
random slope and intercept in gamlss
reporting model estimates values
5 msgs
reporting model estimates values
Juan Pablo Edwards Molina
reporting model estimates values
Oct 24, 2017
Ben Bolker
reporting model estimates values
Oct 24, 2017
Ben Bolker
reporting model estimates values
Oct 24, 2017
Juan Pablo Edwards Molina
reporting model estimates values
Oct 24, 2017
John Fox
reporting model estimates values
Oct 24, 2017
spatial covariance structure in glmmTMB
5 msgs
spatial covariance structure in glmmTMB
Alice Domalik
spatial covariance structure in glmmTMB
Oct 9, 2017
Mollie Brooks
spatial covariance structure in glmmTMB
Oct 9, 2017
Alice Domalik
spatial covariance structure in glmmTMB
Oct 9, 2017
Ben Bolker
spatial covariance structure in glmmTMB
Oct 9, 2017
Alice Domalik
spatial covariance structure in glmmTMB
Oct 11, 2017
specifying crossed random effects for glmmPQL / lme
3 msgs
specifying crossed random effects for glmmPQL / lme
subjects assigned to treatment groups, multiple repeated measures over time
3 msgs
subjects assigned to treatment groups, multiple repeated measures over time
P Greenwood
subjects assigned to treatment groups, multiple repeated measures over time
Oct 12, 2017
Ben Bolker
subjects assigned to treatment groups, multiple repeated measures over time
Oct 13, 2017
P Greenwood
subjects assigned to treatment groups, multiple repeated measures over time
Oct 13, 2017