R-SIG-mixed-models September 2018
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Additive random effects un lme
2 msgs
Additive random effects un lme
Comparing Gaussian and bêta regression
14 msgs
Comparing Gaussian and bêta regression
Emmanuel Curis
Comparing Gaussian and bêta regression
Sep 19, 2018
Ben Bolker
Comparing Gaussian and bêta regression
Sep 19, 2018
Emmanuel Curis
Comparing Gaussian and bêta regression
Sep 19, 2018
Ben Bolker
Comparing Gaussian and bêta regression
Sep 19, 2018
Dimitris Rizopoulos
Comparing Gaussian and bêta regression
Sep 19, 2018
Emmanuel Curis
Comparing Gaussian and bêta regression
Sep 21, 2018
Dimitris Rizopoulos
Comparing Gaussian and bêta regression
Sep 21, 2018
Emmanuel Curis
Comparing Gaussian and bêta regression
Sep 21, 2018
Ben Bolker
Comparing Gaussian and bêta regression
Sep 21, 2018
Ben Bolker
Comparing Gaussian and bêta regression
Sep 21, 2018
Dimitris Rizopoulos
Comparing Gaussian and bêta regression
Sep 21, 2018
Dimitris Rizopoulos
Comparing Gaussian and bêta regression
Sep 21, 2018
Emmanuel Curis
Comparing Gaussian and bêta regression
Sep 21, 2018
Steve Denham
Comparing Gaussian and bêta regression
Sep 24, 2018
Extracting a p-value for a random effect in glmer
3 msgs
Extracting a p-value for a random effect in glmer
Fixed vs random effects with lme4
1 msg
Fixed vs random effects with lme4
PARTFUNDED SCHOLARHPS - Introduction to Frequentist and Bayesian mixed (Hierarchical) models"
1 msg
PARTFUNDED SCHOLARHPS - Introduction to Frequentist and Bayesian mixed (Hierarchical) models"
R Consortium call for funding
8 msgs
R Consortium call for funding
Ben Bolker
R Consortium call for funding
Sep 25, 2018
Andrew Robinson
R Consortium call for funding
Sep 25, 2018
Peter Claussen
R Consortium call for funding
Sep 25, 2018
Lize van der Merwe
R Consortium call for funding
Sep 26, 2018
Martin Maechler
R Consortium call for funding
Sep 26, 2018
Manuel Ramon
R Consortium call for funding
Sep 26, 2018
Mollie Brooks
R Consortium call for funding
Sep 26, 2018
Trevor Walker
R Consortium call for funding
Sep 26, 2018
R-sig-mixed-models Digest, Vol 141, Issue 1
1 msg
R-sig-mixed-models Digest, Vol 141, Issue 1
R-sig-mixed-models Digest, Vol 141, Issue 25
1 msg
R-sig-mixed-models Digest, Vol 141, Issue 25
Removing random intercepts before random slopes
5 msgs
Removing random intercepts before random slopes
Maarten Jung
Removing random intercepts before random slopes
Sep 1, 2018
Jake Westfall
Removing random intercepts before random slopes
Sep 1, 2018
Dimitris Rizopoulos
Removing random intercepts before random slopes
Sep 1, 2018
Maarten Jung
Removing random intercepts before random slopes
Sep 3, 2018
Maarten Jung
Removing random intercepts before random slopes
Sep 3, 2018
Significance of B-splines components in mixed-effects logistic regression (glmer)
4 msgs
Significance of B-splines components in mixed-effects logistic regression (glmer)
Anne Lerche
Significance of B-splines components in mixed-effects logistic regression (glmer)
Sep 21, 2018
Ben Bolker
Significance of B-splines components in mixed-effects logistic regression (glmer)
Sep 21, 2018
Anne Lerche
Significance of B-splines components in mixed-effects logistic regression (glmer)
Sep 21, 2018
Alday, Phillip
Significance of B-splines components in mixed-effects logistic regression (glmer)
Sep 21, 2018
Zero-inflated beta hurdle model
1 msg
Zero-inflated beta hurdle model
distribution of random effects glmmTMB - covariance structure
6 msgs
distribution of random effects glmmTMB - covariance structure
Vidal, Tiffany (FWE )
distribution of random effects glmmTMB - covariance structure
Sep 6, 2018
Dimitris Rizopoulos
distribution of random effects glmmTMB - covariance structure
Sep 6, 2018
Ben Bolker
distribution of random effects glmmTMB - covariance structure
Sep 6, 2018
Vidal, Tiffany (FWE )
distribution of random effects glmmTMB - covariance structure
Sep 6, 2018
Dimitris Rizopoulos
distribution of random effects glmmTMB - covariance structure
Sep 6, 2018
Vidal, Tiffany (FWE )
distribution of random effects glmmTMB - covariance structure
Sep 6, 2018
error when modeling beta-binomial distributed data using glmmTBM
1 msg
error when modeling beta-binomial distributed data using glmmTBM
glmmTMB
1 msg
glmmTMB
glmmTMB pearson residuals
1 msg
glmmTMB pearson residuals
how to group x-axis levels with ggplot()
1 msg
how to group x-axis levels with ggplot()
leave-one-out cross validation in mixed effects logistic model (lme4)
1 msg
leave-one-out cross validation in mixed effects logistic model (lme4)
new afex version: plot results from factorial designs with afex_plot()
1 msg
new afex version: plot results from factorial designs with afex_plot()
planned comparisons-lmer
1 msg
planned comparisons-lmer
predict() expected counts for glmmTMB hurdle negative binomial model
1 msg
predict() expected counts for glmmTMB hurdle negative binomial model
significance of slope (different than zero) in triple interaction
7 msgs
significance of slope (different than zero) in triple interaction
Guillaume Adeux
significance of slope (different than zero) in triple interaction
Sep 5, 2018
Lenth, Russell V
significance of slope (different than zero) in triple interaction
Sep 5, 2018
Lenth, Russell V
significance of slope (different than zero) in triple interaction
Sep 5, 2018
Ben Bolker
significance of slope (different than zero) in triple interaction
Sep 5, 2018
Guillaume Adeux
significance of slope (different than zero) in triple interaction
Sep 5, 2018
Guillaume Adeux
significance of slope (different than zero) in triple interaction
Sep 6, 2018
Lenth, Russell V
significance of slope (different than zero) in triple interaction
Sep 6, 2018