R-SIG-mixed-models — 2015

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extracting p values for main effects of binomial glmm Megan Kutzer, Tim Meehan +9

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lme4, failure to converge with a range of optimisers, trust the fitted model anyway? Ben Bolker, Ken Beath +2

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problem bootstraping a mixed-model (lme) Ben Bolker, David Villegas Ríos +4

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Predictions from zero-inflated or hurdle models Ben Bolker, Ruben Arslan +1

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Question on random effects glm interpretation Emmanuel Curis, Thierry Onkelinx +3

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Best way to handle missing data? Mitchell Maltenfort, landon hurley +3

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estimating variance components for arbitrarily defined var/covar matrices Matthew Keller, David Duffy +4

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Missing values in lmer vs. HLM Carpenter, Tom, Karl Ove Hufthammer +5

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estimating variance components for arbitrarily defined var/covar matrices Jarrod Hadfield, Steve Walker +3

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Perfectly correlated random effects (when they shouldn't be) Jake Westfall, svm +2

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Unidentifiable model in lmer Jake Westfall, Ché Lucero +3

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lmer nonconvergent: care to run and explain? David Duffy, Thierry Onkelinx +2

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glmmADMB Veronique Dermauw, Thierry Onkelinx

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different results from lme and lmer function Li Li, Ben Bolker +3

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Different random intercepts but same random slope for groups Thierry Onkelinx, Bert Gunter +3

8

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Compute a repeated measures model in lme4 Ryan Hope, Mario Garrido +1

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Log-normal MCMCglmm Jörg Albrecht, Paul Johnson +2

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Interpreting lmer() interactions with Helmert contrasts Becky Gilbert, Dan McCloy +2

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Mixed model for count data with overdispersion Mehdi Abedi, Manabu Sakamoto +3

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Zero cells in contrast matrix problem Ben Bolker, Francesco Romano +1

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