Author: Claudia van Borkulo, Sacha Epskamp, with contributions from Alexander Robitzsch
Description: This network estimation procedure eLasso, which is based on the Ising model, combines l1-regularized logistic regression with model selection based on the Extended Bayesian Information Criterion (EBIC). EBIC is a fit measure that identifies relevant relationships between variables. The resulting network consists of variables as nodes and relevant relationships as edges. Can deal with binary data.
Packaged: 2014-04-23 10:09:51 UTC; claudiavb

Packaged: 2014-10-23 07:23:46 UTC; claudiavb

Title: Fitting Ising Models Using the ELasso Method
Packaged: 2016-09-07 09:20:13 UTC; claudiavb

Title: Sampling methods and distribution functions for the Ising model
Description: This package can be used to sample states from the Ising model and compute the probability of states. Sampling can be done for any number of nodes, but due to the intractibility of the Ising model the distribution can only be computed up to ~10 nodes.

Title: Sampling Methods and Distribution Functions for the Ising Model
Description: Sample states from the Ising model and compute the probability of states. Sampling can be done for any number of nodes, but due to the intractibility of the Ising model the distribution can only be computed up to ~10 nodes.

Title: Functions to perform isotonic regression.
Description: Linear order and unimodal order (univariate)
isotonic regression; bivariate isotonic regression

Description: Linear order and unimodal order (univariate) isotonic
regression; bivariate isotonic regression with linear order on

Title: Functions to Perform Isotonic Regression

Description: Does linear order and unimodal order isotonic regression.
Packaged: Fri Mar  7 16:44:03 2008; rturner

Packaged: Thu Jun 12 10:48:14 2008; rturner

Packaged: Fri Nov 28 14:48:01 2008; rturner

Title: Transformed and bootstrap confidence intervals for current
Author: Byeong Yeob Choi, Jason P. Fine and M. Alan Brookhart
Maintainer: Byeong Yeob Choi <bychoi@live.unc.edu>
Description: This packages calculated transformed Wald-type confidence intervals, bootstrap confidence intervals, bootstrap-Wald confidence intervals for current status data