Last data update: 2014.03.03

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Results 1 - 10 of 67 found.
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glmer (Package: lme4) : Fitting Generalized Linear Mixed-Effects Models

Fit a generalized linear mixed-effects model (GLMM). Both fixed effects and random effects are specified via the model formula.
● Data Source: CranContrib
● Keywords: models
● Alias: glmer
● 0 images

residuals.merMod (Package: lme4) : residuals of merMod objects

residuals of merMod objects
● Data Source: CranContrib
● Keywords:
● Alias: residuals.glmResp, residuals.lmResp, residuals.merMod
● 0 images

GQdk (Package: lme4) : Sparse Gaussian / Gauss-Hermite Quadrature grid

Generate the sparse multidimensional Gaussian quadrature grids.
● Data Source: CranContrib
● Keywords:
● Alias: GQN, GQdk
● 0 images

refitML (Package: lme4) : Refit a Model by Maximum Likelihood Criterion

Refit a (merMod) model using the maximum likelihood criterion.
● Data Source: CranContrib
● Keywords:
● Alias: refitML, refitML.merMod
● 0 images

devcomp (Package: lme4) : Extract the deviance component list

Return the deviance component list
● Data Source: CranContrib
● Keywords:
● Alias: devcomp
● 0 images

golden-class (Package: lme4) : Class code{"golden"

"golden" is a reference class for a golden search scalar optimizer, for a parameter within an interval.
● Data Source: CranContrib
● Keywords: classes
● Alias: golden, golden-class
● 0 images

mkRespMod (Package: lme4) : Create an lmerResp, glmResp or nlsResp instance

Create an lmerResp, glmResp or nlsResp instance
● Data Source: CranContrib
● Keywords:
● Alias: mkRespMod
● 0 images

drop1.merMod (Package: lme4) : Drop all possible single fixed-effect terms from a mixed effect model

Drop allowable single terms from the model: see drop1 for details of how the appropriate scope for dropping terms is determined.
● Data Source: CranContrib
● Keywords: misc
● Alias: drop1.merMod
● 0 images

lmer (Package: lme4) : Fit Linear Mixed-Effects Models

Fit a linear mixed-effects model (LMM) to data, via REML or maximum likelihood.
● Data Source: CranContrib
● Keywords: models
● Alias: lmer
● 0 images

merMod-class (Package: lme4) : Class "merMod" of Fitted Mixed-Effect Models

A mixed-effects model is represented as a merPredD object and a response module of a class that inherits from class lmResp. A model with a lmerResp response has class lmerMod; a glmResp response has class glmerMod; and a nlsResp response has class nlmerMod.
● Data Source: CranContrib
● Keywords: classes
● Alias: REMLcrit, anova.merMod, as.function.merMod, coef.merMod, deviance.merMod, df.residual.merMod, extractAIC.merMod, family.merMod, fitted.merMod, formula.merMod, glmerMod-class, lmerMod-class, logLik.merMod, merMod, merMod-class, model.frame.merMod, model.matrix.merMod, ngrps.merMod, nlmerMod-class, nobs, nobs.merMod, print.merMod, print.summary.merMod, show,merMod-method, show.merMod, show.summary.merMod, summary.merMod, summary.summary.merMod, terms.merMod, update.merMod, vcov.merMod, vcov.summary.merMod, weights.merMod
● 0 images