R-SIG-mixed-models - April 2015 - Thread View

3 msgs Apr 30

Silvia Rodríguez Fernández glmmADMB Apr 30, 2015

Thierry Onkelinx glmmADMB Apr 30, 2015

Silvia Rodríguez Fernández glmmADMB Apr 30, 2015

Adding additional factor to previously working MCMCglmm model kills it. Problem with priors? Help?

3 msgs Apr 29

Tricia Markle Adding additional factor to previously working MCMCglmm model kills it. Problem with priors? Help? Apr 28, 2015

Jarrod Hadfield Adding additional factor to previously working MCMCglmm model kills it. Problem with priors? Help? Apr 28, 2015

Tricia Markle Adding additional factor to previously working MCMCglmm model kills it. Problem with priors? Help? Apr 29, 2015

GlmmADMB: random slopes and fixed effects

5 msgs Apr 29

Genevieve Perkins GlmmADMB: random slopes and fixed effects Apr 28, 2015

Thierry Onkelinx GlmmADMB: random slopes and fixed effects Apr 29, 2015

Genevieve Perkins GlmmADMB: random slopes and fixed effects Apr 29, 2015

Ken Beath GlmmADMB: random slopes and fixed effects Apr 29, 2015

Ben Bolker GlmmADMB: random slopes and fixed effects Apr 29, 2015

glmer.nb(): Residual term ??

2 msgs Apr 28

Christine A. glmer.nb(): Residual term ?? Apr 28, 2015

Daniel Fulop glmer.nb(): Residual term ?? Apr 28, 2015

Using lme4 with very limited number of observations makes sense?

1 msg Apr 28

Massimiliano Mario Iraci Using lme4 with very limited number of observations makes sense? Apr 28, 2015

Results from GLMM, error bars for predictions

5 msgs Apr 27

Thierry Onkelinx Results from GLMM, error bars for predictions Apr 27, 2015

Quentin Schorpp Results from GLMM, error bars for predictions Apr 27, 2015

Thierry Onkelinx Results from GLMM, error bars for predictions Apr 27, 2015

Quentin Schorpp Results from GLMM, error bars for predictions Apr 27, 2015

Ben Bolker Results from GLMM, error bars for predictions Apr 27, 2015

predict.merMod with random slopes - revisiting an older issue?

1 msg Apr 26

Robert Zimbardo predict.merMod with random slopes - revisiting an older issue? Apr 26, 2015

Resulat from GLMM, error bars for predictions

2 msgs Apr 26

Quentin Schorpp Resulat from GLMM, error bars for predictions Apr 24, 2015

Thierry Onkelinx Resulat from GLMM, error bars for predictions Apr 26, 2015

mixed-effects model with crossed random effects

2 msgs Apr 24

Magdalena Wiedermann mixed-effects model with crossed random effects Apr 24, 2015

Ben Bolker mixed-effects model with crossed random effects Apr 24, 2015

nested mixed effects logistic regression binomial glm) results differ by function.

3 msgs Apr 24

Malcolm Fairbrother nested mixed effects logistic regression binomial glm) results differ by function. Apr 24, 2015

Lize van der Merwe nested mixed effects logistic regression binomial glm) results differ by function. Apr 24, 2015

Ben Bolker nested mixed effects logistic regression binomial glm) results differ by function. Apr 24, 2015

nested mixed effects logistic regression binomial glm) results differ by function.

5 msgs Apr 24

Lize van der Merwe nested mixed effects logistic regression binomial glm) results differ by function. Apr 23, 2015

David Duffy nested mixed effects logistic regression binomial glm)results differ by function. Apr 23, 2015

Thierry Onkelinx nested mixed effects logistic regression binomial glm) results differ by function. Apr 24, 2015

Linus Holtermann nested mixed effects logistic regression binomial glm) results differ by function. Apr 24, 2015

Lize van der Merwe nested mixed effects logistic regression binomial glm)results differ by function. Apr 24, 2015

nested mixed effects logistic regression binomial, glm) results differ by function.

1 msg Apr 24

Highland Statistics Ltd nested mixed effects logistic regression binomial, glm) results differ by function. Apr 24, 2015

mixed effect models where time ordering is important

5 msgs Apr 23

Steve Candy mixed effect models where time ordering is important Apr 22, 2015

Emmanuel Curis mixed effect models where time ordering is important Apr 22, 2015

Steve Candy mixed effect models where time ordering is important Apr 22, 2015

Emmanuel Curis mixed effect models where time ordering is important Apr 22, 2015

Steve Candy mixed effect models where time ordering is important Apr 23, 2015

GLM course in Palm Cove

1 msg Apr 23

Highland Statistics Ltd GLM course in Palm Cove Apr 23, 2015

mixed effect models where time ordering is important

7 msgs Apr 22

Gosse, Michelle mixed effect models where time ordering is important Apr 21, 2015

John Maindonald mixed effect models where time ordering is important Apr 21, 2015

Gosse, Michelle mixed effect models where time ordering is important Apr 21, 2015

Steven J. Pierce mixed effect models where time ordering is important Apr 22, 2015

Gosse, Michelle mixed effect models where time ordering is important Apr 22, 2015

Ken Beath mixed effect models where time ordering is important Apr 22, 2015

Gosse, Michelle mixed effect models where time ordering is important Apr 22, 2015

mixed effect models where time ordering is important

1 msg Apr 22

Cole, Tim mixed effect models where time ordering is important Apr 22, 2015

GLMM Power Analysis

1 msg Apr 21

Johanna Bradie Simpkins GLMM Power Analysis Apr 21, 2015

Zero inflation parameter in glmmadmb

1 msg Apr 20

Zahwa Al Ayyash (Student) Zero inflation parameter in glmmadmb Apr 20, 2015

Post-hoc test and Cook's distance vs. leverageplot for glmer from package lme4

3 msgs Apr 19

Mario Garrido Post-hoc test and Cook's distance vs. leverageplot for glmer from package lme4 Apr 11, 2015

Ben Bolker Post-hoc test and Cook's distance vs. leverageplot for glmer from package lme4 Apr 16, 2015

Mario Garrido Post-hoc test and Cook's distance vs. leverageplot for glmer from package lme4 Apr 19, 2015

Weights argument glmmADMB

2 msgs Apr 17

bbonit at tin.it Weights argument glmmADMB Apr 17, 2015

Joseph Bulbulia Weights argument glmmADMB Apr 17, 2015

Weights argument glmmADMB

2 msgs Apr 16

bbonit at tin.it Weights argument glmmADMB Apr 16, 2015

Ben Bolker Weights argument glmmADMB Apr 16, 2015

Wheigts glmmADMB

1 msg Apr 16

bbonit at tin.it Wheigts glmmADMB Apr 16, 2015

problem bootstraping a mixed-model (lme)

14 msgs Apr 15

David Villegas Ríos problem bootstraping a mixed-model (lme) Apr 1, 2015

Ken Beath problem bootstraping a mixed-model (lme) Apr 1, 2015

David Villegas Ríos problem bootstraping a mixed-model (lme) Apr 7, 2015

Ken Beath problem bootstraping a mixed-model (lme) Apr 7, 2015

Ben Bolker problem bootstraping a mixed-model (lme) Apr 7, 2015

Ken Beath problem bootstraping a mixed-model (lme) Apr 7, 2015

David Villegas Ríos problem bootstraping a mixed-model (lme) Apr 7, 2015

Ken Beath problem bootstraping a mixed-model (lme) Apr 9, 2015

Ben Pelzer calculation max|grad value? Apr 10, 2015

Dan McCloy calculation max|grad value? Apr 10, 2015

Ben Pelzer calculation max|grad value? Apr 13, 2015

Douglas Bates calculation max|grad value? Apr 13, 2015

Ben Bolker calculation max|grad value? Apr 13, 2015

Ben Pelzer calculation max|grad value? Apr 15, 2015

"mixed" MANOVAs

1 msg Apr 14

Mike "mixed" MANOVAs Apr 14, 2015

contrast of predicted slopes from MCMCglmm model

1 msg Apr 10

Daniel Fulop contrast of predicted slopes from MCMCglmm model Apr 10, 2015

contrast of predicted slopes from MCMCglmm model

4 msgs Apr 10

Lenth, Russell V contrast of predicted slopes from MCMCglmm model Apr 10, 2015

Daniel Fulop contrast of predicted slopes from MCMCglmm model Apr 10, 2015

Lenth, Russell V contrast of predicted slopes from MCMCglmm model Apr 10, 2015

Daniel Fulop contrast of predicted slopes from MCMCglmm model Apr 10, 2015

contrast of predicted slopes from MCMCglmm model

1 msg Apr 9

Daniel Fulop contrast of predicted slopes from MCMCglmm model Apr 9, 2015

Statistics course: Darwin, Australia

1 msg Apr 8

Highland Statistics Ltd Statistics course: Darwin, Australia Apr 8, 2015

bootstraping a mixed-model (lme)

3 msgs Apr 7

Roslyn Dakin bootstraping a mixed-model (lme) Apr 7, 2015

David Duffy bootstrapping a mixed-model (lme) Apr 7, 2015

Ken Beath bootstraping a mixed-model (lme) Apr 7, 2015

heritability from longitudinal zero-inflated count data

4 msgs Apr 7

Paul Johnson heritability from longitudinal zero-inflated count data Apr 2, 2015

Jarrod Hadfield heritability from longitudinal zero-inflated count data Apr 3, 2015

Paul Johnson heritability from longitudinal zero-inflated count data Apr 7, 2015

lme4, failure to converge with a range of optimisers, trust the fitted model anyway?

16 msgs Apr 6

Hans Ekbrand lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 4, 2015

Ken Beath lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 4, 2015

Hans Ekbrand lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 4, 2015

Ben Bolker lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 4, 2015

Hans Ekbrand lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 4, 2015

Ken Beath lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 5, 2015

Ben Pelzer lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 5, 2015

Hans Ekbrand lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 5, 2015

Ken Beath lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 5, 2015

Hans Ekbrand lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 5, 2015

Ken Beath lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 5, 2015

Hans Ekbrand lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 5, 2015

Ken Beath lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Apr 6, 2015

Removing p.d. constraint for random effects in lme

4 msgs Apr 6

R User Removing p.d. constraint for random effects in lme Apr 5, 2015

Ben Bolker Removing p.d. constraint for random effects in lme Apr 6, 2015

Douglas Bates Removing p.d. constraint for random effects in lme Apr 6, 2015

Problems with convergence

3 msgs Apr 3

Ken Beath Problems with convergence Apr 2, 2015

Ben Bolker Problems with convergence Apr 2, 2015

Ken Beath Problems with convergence Apr 3, 2015

glmer does not converge, how inaccurate is using nAGQ = 0?

6 msgs Apr 3

Paolo Fraccaro glmer does not converge, how inaccurate is using nAGQ = 0? Apr 1, 2015

Ken Beath glmer does not converge, how inaccurate is using nAGQ = 0? Apr 1, 2015

Ben Bolker glmer does not converge, how inaccurate is using nAGQ = 0? Apr 1, 2015

Paolo Fraccaro glmer does not converge, how inaccurate is using nAGQ = 0? Apr 2, 2015

Ken Beath glmer does not converge, how inaccurate is using nAGQ = 0? Apr 2, 2015

Ken Beath glmer does not converge, how inaccurate is using nAGQ = 0? Apr 3, 2015

design matrices in MCMCglmm

2 msgs Apr 3

Jarrod Hadfield design matrices in MCMCglmm Apr 3, 2015

Is it possible to account for temporal autocorrelation in MCMCglmm?

2 msgs Apr 3

David Villegas Ríos Is it possible to account for temporal autocorrelation in MCMCglmm? Apr 1, 2015

Jarrod Hadfield Is it possible to account for temporal autocorrelation in MCMCglmm? Apr 3, 2015

2 statistics courses in Perth

1 msg Apr 1

Highland Statistics Ltd 2 statistics courses in Perth Apr 1, 2015

predict() with varying betas (newparams)

1 msg Apr 1

Hans Ekbrand predict() with varying betas (newparams) Apr 1, 2015

predict() with varying betas (newparams)

2 msgs Mar 31

Hans Ekbrand predict() with varying betas (newparams) Mar 31, 2015

Ben Bolker predict() with varying betas (newparams) Mar 31, 2015

R-SIG-mixed-models April 2015