Description: The external prediction capability of quantitative structure-activity relationship (QSAR) models is often quantified using the predictive squared correlation coefficient. This value can be calculated with an external data set or by cross validation.

Title: SEM Model Comparison with K-Fold Cross-Validation
c(person("Anna", "Wysocki", , "awysocki@ucdavis.edu", role = c("aut","cre")),
person("Danielle", "Siegel", , "dpsiegel@ucdavis.edu", role = c("aut")),
person("Cameron", "allen", , "camallen@ucdavis.edu", role = c("aut")),
person("Philippe", "Rast", , "rast.ph@gmail.com", role = c("aut")))
Description: The goal of 'cvsem' is to provide functions that allow for comparing Structural Equation Models (SEM) using cross-validation. Users can specify multiple SEMs using 'lavaan' syntax. 'cvsem' computes the Kullback Leibler (KL) Divergence between 1) the model implied covariance matrix estimated from the training data and 2) the sample covariance matrix estimated from the test data described in Cudeck, Robert & Browne (1983) <doi:10.18637/jss.v048.i02>. The KL Divergence is computed for each of the specified SEMs allowing for the models to be compared based on their prediction errors.

Authors@R: person("Kenneth", "Tay", role = c("aut", "cre"), email = "kjytay@gmail.com")
Description: Tools for performing cross-validation (CV). The main function is a
general purpose wrapper that performs k-fold CV for any tuning parameter in
any supervised learning method. The package also has a function that
computes the loss incurred by a set of predictions for a variety of loss
Suggests: doParallel, gbm, glmnet, knitr, Matrix, parallel, pls,

Author: Eric C. Chi, Genevera I. Allen, Richard G. Baraniuk
Description: An iterative algorithm for solving a convex
formulation of the biclustering problem.

Maintainer: Eric C. Chi <ecchi@ucla.edu>
Title: Splitting methods for convex clustering
Description: Alternating Minimization Algorithm (AMA) and Alternating
Direction Method of Multipliers (ADMM) splitting methods for
Suggests: compiler, testthat, roxygen2, ggplot2