Title: IRT models for polytomous and continuous item responses
Description: pcIRT estimates the multidimensional polytomous Rasch model (Rasch, 1961) and the Continous Rating Scale model (Mueller, 1987)

Title: IRT Models for Polytomous and Continuous Item Responses
Imports: Rcpp, combinat, stats, graphics, grDevices, utils, methods
Description: Estimates the multidimensional polytomous Rasch model
(Rasch, 1961) and the Continuous Rating Scale model (Mueller, 1987).
Packaged: 2016-04-29 11:06:07 UTC; christine

Packaged: 2018-04-29 20:20:21 UTC; christine

Description: Estimates the multidimensional polytomous Rasch model (Rasch, 1961) with conditional maximum likelihood estimation.
Packaged: 2019-07-15 18:58:20 UTC; christine

Description: pcIRT estimates the multidimensional polytomous Rasch model
(Rasch, 1961) and the Continous Rating Scale model (Mueller, 1987).
Packaged: 2015-07-17 19:46:25 UTC; christine

Author: Jerome Friedman, Kenneth Tay, Robert Tibshirani
Description: A method for fitting the entire regularization path
of the principal components lasso for linear and
logistic regression models. The algorithm uses cyclic coordinate descent
in a path-wise fashion. See URL below for more information on the algorithm.
See Tay, K., Friedman, J. ,Tibshirani, R., (2014) 'Principal component-guided sparse regression'

Packaged: 2019-02-06 00:11:42 UTC; robtibshirani

Title: Convenient Tool for Solving the Prize-Collecting Steiner Tree
Description: The Prize-Collecting Steiner Tree problem asks to find a subgraph
connecting a given set of vertices with the most expensive nodes and least
expensive edges. Since it is proven to be NP-hard, exact and efficient algorithm
does not exist. This package provides convenient functionality for obtaining an
approximate solution to this problem using loopy belief propagation algorithm.

Description: This package provides a function simplifying presentation
of PCA models in a 3D interactive representation using rgl

Description: Functions simplifying presentation of PCA models in a 3D interactive representation using 'rgl'.