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R-SIG-mixed-models November 2014

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ANOVA for large data sets

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Advice

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Approximation to Marginal Likelihood of GLMM in lme4‏

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Bivariate (or multivariate) model in MCMCglmm

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Crossed and nested factors in experimental designs: Are there any flowcharts for decision making?

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DIC with multiple MCMCglmm chains

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Error in predict a linear mixed model with predict

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Error message

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Estimating/fixing covariances in multi-response model with several zero-inflated variables?

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Extract standard error of the variance component in lme4 package (GLMM).

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Formula Explanation in lme4 Vignette

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Help with mosaic plot

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Longitudinal Model

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MCMCglmm Heterogenous Residual Variance in a Categorial Model

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MLM / HLM diagnostics

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Model correlated responses in interval-censored data

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Multiple comparison correction?

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Multiple post hoc comparisons in MCMCglmm

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Need help with Random Effect specification: nested Random Effects and a_priori known regimes (MCMCglmm)

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Non-diagonal sampling covariance with lme4

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Offset() in gls() in nlme

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Openblas and lme4

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Ordinal categorical variable as a random effect in MCMCglmm

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Partial R2 in mixed models

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Proportional Error model in nlme using weights

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R-sig-mixed-models Digest, Vol 94, Issue 38

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R-sig-mixed-models Digest, Vol 95, Issue 21

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R-sig-mixed-models Digest, Vol 95, Issue 6

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R-sig-mixed-models Digest, Vol 95, Issue 8

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Robust SEs in GLMMs

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Zero-inflated and proportional data

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default optimizer in lmer 1.1-7?

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error message using glmmADMB

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error when looping many MCMCglmm runs

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from: Tina Wey

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glmmADMB error messages with percentage cover data

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glmmADMB error messages with percentage cover data (Elwyn Sharps)

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glmmadmb function

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glmmadmb random effects help

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interpretation of range value from lme model with exponential correlation structure

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interpretation variance-covariance estimates with gaussian and censored exponential

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lmertest F-test anova(fullm) and anova(fullm, reducedm)

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lmertest F-test anova(fullm) and anova(fullm,reducedm)

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parallel option of the bootMer function: warnings for parallel=no, but not for parallel=snow

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predict GAMM

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predict.MCMCglmm() does not use random effects?

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response correlated among groups

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subject level predictions with lme4 from incomplete longitudinal profile

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subject level predictions with lme4 from incomplete longitudinal profile

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weights = varIdent - differences even if "weighted factor" is not in the model

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