Packaged: Tue May 19 21:06:58 2009; markus

Description: Functions inserting dynamic scatterplots and grids in documents generated by R2HTML.
License: GPL version 2 or newer.Copyright statement for ptolemy: http://ptolemy.eecs.berkeley.edu/copyright.htm
URL:  http://ptolemy.eecs.berkeley.edu/ http://penyfan.ugent.be/htmlapplets/ http://java.sun.com/products/plugin/ http://www.stat.ucl.ac.be/R2HTML/
Packaged: Fri Dec  3 10:20:20 2004; gregoire

Title: Dynamic visualisation in HTML documents
Description: Functions inserting dynamic scatterplots and grids in documents generated by R2HTML. To view the applets you must install a Java plugin (http://java.sun.com/products/plugin/). The plot applet is a modified version of PtPlot 5.3 (http://ptolemy.eecs.berkeley.edu/).
License: GPL version 2 or newer. Copyright statement for ptolemy: http://ptolemy.eecs.berkeley.edu/copyright.htm
Packaged: Mon Feb 23 11:11:43 2009; hornik

Packaged: Mon Dec  6 12:49:15 2004; gregoire

Title: Haplotype Trend Regression with eXtra Flexibility (HTRX)
person("Yaoling", "Yang", email = "yaoling.yang@bristol.ac.uk", role = c("aut", "cre"),
person("Daniel", "Lawson", email = "Dan.Lawson@bristol.ac.uk", role = "aut",
Description: Detection of haplotype patterns that include single nucleotide polymorphisms (SNPs) and non-contiguous haplotypes that are associated with a phenotype. Methods for implementing HTRX are described in Barrie W, Yang Y, Attfield K E, et al (2022) <doi:10.1101/2022.09.23.509097>.
Imports: fastglm, caret, parallel, methods, stats
Author: Yaoling Yang [aut, cre] (<https://orcid.org/0000-0003-4905-8097>),

Imports: fastglm, caret, parallel, methods, stats, glmnet

Title: Clustering high throughput sequencing (HTS) data
Author: Andrea Rau, Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau
Description: This package implements two parameterizations of a Poisson mixture model to cluster observations (e.g., genes) in high throughput sequencing data. Parameter estimation is performed using either the EM or CEM algorithm, and the BIC or ICL criteria are used for model selection (i.e., to choose the number of clusters).