Packaged: 2015-11-15 00:43:20 UTC; groendyke

Packaged: 2016-02-21 16:30:47 UTC; groendyke

Packaged: 2018-02-13 22:29:33 UTC; groendyke

Title: Epistatic Network Modelling with Forward-Time Simulation
person("Dion", "Detterer", email = "ddettere@myune.edu.au", role = c("aut", "cre")),
person("Paul", "Kwan", email = "pkwan@mit.edu.au", role = "aut"),
person("Cedric", "Gondro", email = "gondroce@msu.edu", role = "aut"))
Description: Allows for forward-in-time simulation of epistatic networks with associated

Title: Analysis of Plant Disease Epidemics
person("Christophe", "Gigot", email = "ch.gigot@gmail.com",
Description: A toolbox to make it easy to analyze plant disease epidemics. It
provides a common framework for plant disease intensity data recorded over
time and/or space. Implemented statistical methods are currently mainly
focused on spatial pattern analysis (e.g., aggregation indices, Taylor and
binary power laws, distribution fitting, SADIE and mapcomp methods). See
Madden LV, Hughes G, van den Bosch F (2007, ISBN: 978-089054-354-2) for
further information on these methods. Several data sets that were mainly
published in plant disease epidemiology literature are also included in this
Imports: stats, methods, utils, grDevices, ggplot2, transport, msm,
Suggests: magrittr, dplyr, tidyr, spdep, emdist, vegan, MASS, emdbook,
Collate: 'RcppExports.R' 'betabinom.R' 'data.R' 'utils.R'
Author: Christophe Gigot [aut, cre] (<https://orcid.org/0000-0002-1748-2902>)

Author: Beibei Jiang <beibei_jiang@psych.mpg.de> and Benno Pütz <puetz@psych.mpg.de>
Description: Searching genomic interactions with linear/logistic regression in a high-dimensional dataset is a time-consuming task. This package provides some efficient ways to scan epistasis in genome-wide interaction studies (GWIS). Both case-control status (binary outcome) and quantitative phenotype (continuous outcome) are supported (the main references: 1. Kam-Thong, T., D. Czamara, K. Tsuda, K. Borgwardt, C. M. Lewis, A. Erhardt-Lehmann, B. Hemmer, et al. (2011). <doi:10.1038/ejhg.2010.196>. 2. Kam-Thong, T., B. Pütz, N. Karbalai, B. Müller-Myhsok, and K. Borgwardt. (2011).  <doi:10.1093/bioinformatics/btr218>.)
Packaged: 2018-09-10 12:13:44 UTC; beibei_jiang