Author: Antoine Tremblay, Dalhousie University, and Johannes Ransijn, University of Copenhagen
Description: Functions to back-fit fixed effects (on F or t values as well as log-likelihood ratio testing (llrt), AIC, BIC, relLik.AIC or relLik.BIC) and to forward-fit random effects (using log-likelihood ratio testing). NOTE that the back- and forward-fitting of generalized linear mixed-effects regression (glmer) models is now supported by functions ``bfFixefLMER_t.fnc'' and ``ffRanefLMER.fnc''. The package also includes a function to compute ANOVAs with upper- and lower-bound p-values (anti-conservative and conservative, respectively), a function to graph model criticism plots, functions to trim data on model residuals or on a response variable (per subject), a function to perform posthoc analyses (with or without MCMC p-values), a function to generate summaries of mcposthoc objects, a function to generate (dynamic) 3d plots of (i) predicted values of an LMER model for interactions between two numeric variables,(ii) the raw data as a function of two numeric variable, and (iii) kernel density estimates (densities) of two numeric variables, and finally a function to calculate the relative log-likelihood between two models.

Title: Model Selection and Post-hoc Analysis for (G)LMER Models
Description: The main function of the package is to perform backward selection of fixed effects, forward fitting of the random effects, and post-hoc analysis using parallel capabilities. Other functionality includes the computation of ANOVAs with upper- or lower-bound p-values and R-squared values for each model term, model criticism plots, data trimming on model residuals, and data visualization. The data to run examples is contained in package LCF_data.
Imports: Matrix, lme4, LCFdata, rgl, fields, mgcv, parallel

Description: Functions to back-fit fixed effects (on F or t values as well as log-likelihood ratio testing (llrt), AIC, BIC, relLik.AIC or relLik.BIC) and to forward-fit random effects (using log-likelihood ratio testing). NOTE that the back- and forward-fitting of generalized linear mixed-effects regression (glmer) models is now supported by functions ``bfFixefLMER_t.fnc'' and ``ffRanefLMER.fnc''. The package also includes a function to compute ANOVAs with upper- and lower-bound p-values (anti-conservative and conservative, respectively), a function to graph model criticism plots, functions to trim data on model residuals or on a response variable (per subject), a function to perform posthoc analyses (with or without MCMC p-values), a function to generate summaries of mcposthoc objects, a function to generate (dynamic) 3d plots of (i) predicted values of an LMER model for interactions between two numeric variables,(ii) the raw data as a function of two numeric variable, and (iii) kernel density estimates (densities) of two numeric variables, and finally a function to calculate the relative log-likelihood between two models. Also, as of version 2.4, the package gains function ``plotLMER.fnc'' (revived from archived package ``languageR'').
Suggests: LCFdata, rgl, fields, mgcv, parallel