Title: Regression Trees with Random Effects for Longitudinal (Panel)
Author: Rebecca Sela and Jeffrey Simonoff
Description: This package estimates regression trees with random
effects as a way to use data mining techniques to describe
Packaged: Mon Jul 13 22:18:02 2009; rsela

Packaged: Thu Aug 13 10:46:43 2009; rsela

Packaged: Sun Feb 14 14:13:51 2010; rsela

Packaged: Tue Jun 21 21:45:57 2011; rsela

Packaged: Fri Jul 29 20:21:52 2011; rsela

Packaged: Sun Aug 7 20:38:07 2011; rsela

Author: Rebecca Sela, Jeffrey Simonoff and Wenbo Jing
Depends: nlme, rpart, methods, graphics, stats
Description: A data mining approach for longitudinal and clustered data,
which combines the structure of mixed effects model with tree-based
estimation methods. See Sela, R.J. and Simonoff, J.S. (2012) RE-EM
trees: a data mining approach for longitudinal and clustered data
Packaged: 2021-01-08 01:22:24 UTC; WENBO JING

Packaged: Mon Mar 28 21:52:32 2011; rsela

Title: REGENT: Risk Estimation for Genetic and Environmental Traits
Author: Daniel J.M. Crouch, Graham Goddard H.M. & Cathryn M. Lewis
Description: Produces population distribution of disease risk and statistical risk categories, and predicts risks for individuals with genotype information

Description: Produces population distribution of disease risk and
statistical risk categories, and predicts risks for individuals

Title: Risk Estimation for Genetic and Environmental Traits
Author: Daniel J.M. Crouch, Graham H.M. Goddard & Cathryn M. Lewis
Description: Produces population distribution of disease risk and statistical risk categories, and predicts risks for individuals with genotype information.
Packaged: 2015-08-19 09:15:41 UTC; dancrouch

Title: Random Effects for the Identification of Differential Splicing
(2017) <doi:10.1186/s12859-017-1687-8> for the detection of alternative splicing.  The method is extended by incorporating junction information for the
assessment of alternative splicing. The vignette introduces the model and shows an example work flow.
Depends: R (>= 2.10), aroma.affymetrix, aroma.core