Antoine Tremblay, Dalhousie University <trea26@gmail.com>
Functions to back-fit fixed effects (on F or t values and,
potentially, log-likelihood ratio testing) and to forward-fit
random effects (using log-likelihood ratio testing). Note that
the back- and forward-fitting of generalized linear
mixed-effects regression (\code{glmer}s) models is not yet
supported. 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 (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.
LCFdata, rgl, mgcv, multicore, languageR

Antoine Tremblay, Dalhousie University, and Johannes Ransijn,
University of Copenhagen

"Antoine Tremblay, Dalhousie University" <trea26@gmail.com>
Functions to back-fit fixed effects (on F or t values and,
potentially, log-likelihood ratio testing) 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. 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.
LCFdata, rgl, fields, mgcv, parallel, languageR