Title: Regularization for Variable Selection in Model-Based Clustering
Description: Performs a regularization approach to variable selection in the
model-based clustering and classification frameworks.
First, the variables are arranged in order with a lasso-like procedure.
Second, the method of Maugis, Celeux, and Martin-Magniette (2009, 2011)
is adapted to define the role of variables in the two frameworks.
Imports: Rcpp (>= 0.11.1), glasso, parallel, Rmixmod, methods

Depends: R (>= 3.1.0), glasso, Rmixmod, parallel, base

Title: Methods and Measures for Semantic Network Analysis
Authors@R: c(person("Alexander P.", "Christensen", email = "alexpaulchristensen@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9798-7037")), person("Yoed N.", "Kenett", role = c("aut", "ctb"), comment = c(ORCID = "0000-0003-3872-7689")))
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>
Description: Implements several functions for the analysis of semantic networks including partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.
Imports: lsa, foreach, parallel, doParallel, pbapply, NetworkToolbox,
SemNetCleaner, dplyr, plyr, RColorBrewer, purrr, magrittr,
ggplot2, grid, igraph, qgraph, networktools
Author: Alexander P. Christensen [aut, cre]

Suggests: knitr, rmarkdown, htmlTable, gridExtra

Suggests: knitr, rmarkdown, htmlTable, gridExtra, shiny, shinyalert

Description: Implements several functions for the analysis of semantic networks including different network estimation algorithms, partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.
Imports: pbapply, NetworkToolbox, dplyr, plyr, RColorBrewer, purrr,
magrittr, ggplot2, grid, igraph, qgraph, scales
Suggests: knitr, rmarkdown, htmlTable, gridExtra, shiny, shinyalert,