Profiling Inference Functions for Various Model Classes
Provides tools that can be used to calculate, evaluate, plot and use for inference the profiles of *arbitrary* inference functions for *arbitrary* 'glm'-like fitted models with linear predictors. More information on the methods that are implemented can be found in Kosmidis (2008) <https://www.r-project.org/doc/Rnews/Rnews_2008-2.pdf>.

This package provides a set of tools that implement the profile
analysis and cross-validation techniques described in Davison & Davenport
(2002) and Bulut (2013).
Okan Bulut <okanbulut84@gmail.com>, Christopher David Desjardins
<cddesjardins@gmail.com>
ggplot2, MASS, reshape, methods, plyr, R (>= 3.0.2)
'profileplot.R' 'subscore.reliability.R' 'print.prof.R'
'plot.prof.R' 'profileR-package.R' 'criterion.pattern.R'
'profilecv.R' 'summary.critpat.R'

Profile Analysis of Multivariate Data in R
The package profileR provides a set of multivariate methods and data visualization tools
to implement profile analysis and cross-validation techniques described
in Davison & Davenport (2002) and Bulut (2013).
ggplot2, MASS, RColorBrewer, reshape, methods, plyr, R (>=
3.0.0)
'anova.critpat.R' 'cp.R' 'pams.R' 'pbg.R' 'pc.R'
'plot.critpat.R' 'plot.prof.R' 'pr.R' 'print.critpat.R'
'print.prof.R' 'print.profg.R' 'profileplot.R'
'summary.critpat.R' 'summary.profg.R'

Fit profile analytic models. This includes the multivariate methods and data visualization tools
to implement profile analysis and cross-validation techniques described
in Davison & Davenport (2002) and Bulut (2013).
Okan Bulut <okanbulut84@gmail.com>, Christopher David Desjardins <cddesjardins@gmail.com>
ggplot2, MASS, RColorBrewer, reshape, methods, lavaan, R (>=
3.0.0)
'anova.critpat.R' 'cpa.R' 'mpa.R' 'pams.R' 'paos.R' 'pbg.R'
'pcv.R' 'plot.critpat.R' 'plot.prof.R' 'pr.R' 'print.critpat.R'
'print.prof.R' 'print.profg.R' 'profileplot.R'
'summary.critpat.R' 'summary.profg.R' 'wprifm.R'

Fit profile analytic models. This includes the multivariate methods
and data visualization tools to implement profile analysis and cross-validation
techniques described in Davison & Davenport (2002) and Bulut (2013).
ggplot2, RColorBrewer, reshape, lavaan, R (>= 3.0.0)