R-SIG-mixed-models April 2015
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Thursday, April 30, 2015 3 emails
Wednesday, April 29, 2015 5 emails
Tricia Markle
Adding additional factor to previously working MCMCglmm model kills it. Problem with priors? Help?
Ben Bolker
GlmmADMB: random slopes and fixed effects
Ken Beath
GlmmADMB: random slopes and fixed effects
Genevieve Perkins
GlmmADMB: random slopes and fixed effects
Thierry Onkelinx
GlmmADMB: random slopes and fixed effects
Tuesday, April 28, 2015 6 emails
Jarrod Hadfield
Adding additional factor to previously working MCMCglmm model kills it. Problem with priors? Help?
Tricia Markle
Adding additional factor to previously working MCMCglmm model kills it. Problem with priors? Help?
Genevieve Perkins
GlmmADMB: random slopes and fixed effects
Daniel Fulop
glmer.nb(): Residual term ??
Massimiliano Mario Iraci
Using lme4 with very limited number of observations makes sense?
Christine A.
glmer.nb(): Residual term ??
Monday, April 27, 2015 5 emails
Ben Bolker
Results from GLMM, error bars for predictions
Quentin Schorpp
Results from GLMM, error bars for predictions
Thierry Onkelinx
Results from GLMM, error bars for predictions
Quentin Schorpp
Results from GLMM, error bars for predictions
Thierry Onkelinx
Results from GLMM, error bars for predictions
Sunday, April 26, 2015 2 emails
Friday, April 24, 2015 10 emails
Ben Bolker
mixed-effects model with crossed random effects
Ben Bolker
nested mixed effects logistic regression binomial glm) results differ by function.
Magdalena Wiedermann
mixed-effects model with crossed random effects
Quentin Schorpp
Resulat from GLMM, error bars for predictions
Lize van der Merwe
nested mixed effects logistic regression binomial glm)results differ by function.
Lize van der Merwe
nested mixed effects logistic regression binomial glm) results differ by function.
Malcolm Fairbrother
nested mixed effects logistic regression binomial glm) results differ by function.
Highland Statistics Ltd
nested mixed effects logistic regression binomial, glm) results differ by function.
Linus Holtermann
nested mixed effects logistic regression binomial glm) results differ by function.
Thierry Onkelinx
nested mixed effects logistic regression binomial glm) results differ by function.
Thursday, April 23, 2015 4 emails
David Duffy
nested mixed effects logistic regression binomial glm)results differ by function.
Steve Candy
mixed effect models where time ordering is important
Highland Statistics Ltd
GLM course in Palm Cove
Lize van der Merwe
nested mixed effects logistic regression binomial glm) results differ by function.
Wednesday, April 22, 2015 9 emails
Gosse, Michelle
mixed effect models where time ordering is important
Ken Beath
mixed effect models where time ordering is important
Gosse, Michelle
mixed effect models where time ordering is important
Emmanuel Curis
mixed effect models where time ordering is important
Steven J. Pierce
mixed effect models where time ordering is important
Steve Candy
mixed effect models where time ordering is important
Emmanuel Curis
mixed effect models where time ordering is important
Steve Candy
mixed effect models where time ordering is important
Cole, Tim
mixed effect models where time ordering is important
Tuesday, April 21, 2015 4 emails
Monday, April 20, 2015 1 email
Sunday, April 19, 2015 1 email
Friday, April 17, 2015 2 emails
Thursday, April 16, 2015 4 emails
Wednesday, April 15, 2015 1 email
Tuesday, April 14, 2015 1 email
Monday, April 13, 2015 3 emails
Saturday, April 11, 2015 1 email
Friday, April 10, 2015 7 emails
Daniel Fulop
contrast of predicted slopes from MCMCglmm model
Daniel Fulop
contrast of predicted slopes from MCMCglmm model
Dan McCloy
calculation max|grad value?
Lenth, Russell V
contrast of predicted slopes from MCMCglmm model
Daniel Fulop
contrast of predicted slopes from MCMCglmm model
Lenth, Russell V
contrast of predicted slopes from MCMCglmm model
Ben Pelzer
calculation max|grad value?
Thursday, April 9, 2015 2 emails
Wednesday, April 8, 2015 1 email
Tuesday, April 7, 2015 9 emails
David Villegas Ríos
problem bootstraping a mixed-model (lme)
Ken Beath
bootstraping a mixed-model (lme)
David Duffy
bootstrapping a mixed-model (lme)
Roslyn Dakin
bootstraping a mixed-model (lme)
Ken Beath
problem bootstraping a mixed-model (lme)
Ben Bolker
problem bootstraping a mixed-model (lme)
Ken Beath
problem bootstraping a mixed-model (lme)
David Villegas Ríos
problem bootstraping a mixed-model (lme)
Paul Johnson
heritability from longitudinal zero-inflated count data
Monday, April 6, 2015 4 emails
Sunday, April 5, 2015 11 emails
R User
Removing p.d. constraint for random effects in lme
Hans Ekbrand
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Hans Ekbrand
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Ken Beath
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Hans Ekbrand
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Hans Ekbrand
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Ken Beath
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Hans Ekbrand
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Hans Ekbrand
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Ben Pelzer
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Ken Beath
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Saturday, April 4, 2015 5 emails
Hans Ekbrand
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Ben Bolker
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Hans Ekbrand
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Ken Beath
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Hans Ekbrand
lme4, failure to converge with a range of optimisers, trust the fitted model anyway?
Friday, April 3, 2015 7 emails
Ken Beath
Problems with convergence
Ken Beath
glmer does not converge, how inaccurate is using nAGQ = 0?
Jarrod Hadfield
heritability from longitudinal zero-inflated count data
Jarrod Hadfield
design matrices in MCMCglmm
Jarrod Hadfield
heritability from longitudinal zero-inflated count data
Jarrod Hadfield
Is it possible to account for temporal autocorrelation in MCMCglmm?
Jarrod Hadfield
design matrices in MCMCglmm
Thursday, April 2, 2015 5 emails
Wednesday, April 1, 2015 8 emails
Ben Bolker
glmer does not converge, how inaccurate is using nAGQ = 0?
Ken Beath
glmer does not converge, how inaccurate is using nAGQ = 0?
Ken Beath
problem bootstraping a mixed-model (lme)
Highland Statistics Ltd
2 statistics courses in Perth
Paolo Fraccaro
glmer does not converge, how inaccurate is using nAGQ = 0?
David Villegas Ríos
Is it possible to account for temporal autocorrelation in MCMCglmm?
David Villegas Ríos
problem bootstraping a mixed-model (lme)
Hans Ekbrand
predict() with varying betas (newparams)