Description: Introduces in-sample, out-of-sample, pseudo out-of-sample, and
benchmark linear model forecast tests and a new class for working with
Packaged: 2021-10-12 22:35:13 UTC; nelsonrayl

Packaged: 2022-01-03 17:37:45 UTC; nelsonrayl

Title: Permutation tests for linear models
Description: Linear model functions using permutation tests.
Packaged: 2010-01-25 17:22:31 UTC; Bob Wheeler

Packaged: 2010-01-27 13:04:01 UTC; Bob Wheeler

Packaged: 2010-02-12 14:11:04 UTC; Bob Wheeler

Packaged: 2010-08-15 11:58:38 UTC; Bob Wheeler

Title: Permutation Tests for Linear Models
Author: Bob Wheeler <bwheelerg@gmail.com>, Marco Torchiano <marco.torchiano@polito.it>

Title: An Algorithm for Gene Co-Expression Analysis
Authors@R: c(person("Zhi", "Huang", email = "zhihuan@umail.iu.edu", role = c("aut", "cre")),
person("Jie", "Zhang", email = "jizhan@iu.edu", role = c("aut", "ctb")),
person("Kun", "Huang", email = "kunhuang@iu.edu", role = c("aut", "ctb")),
person("Zhi", "Han", email = "zhihan@iu.edu", role = c("aut", "ctb"))
Description: Implementation based on Zhang, Jie & Huang, Kun (2014) <doi:10.4137/CIN.S14021> Normalized ImQCM: An Algorithm for Detecting Weak Quasi-Cliques in Weighted Graph with Applications in Gene Co-Expression Module Discovery in Cancers. Cancer informatics, 13, CIN-S14021.
Depends: genefilter, Biobase, nnet, stats

Authors@R: c(person("Zhi", "Huang", email = "huang898@purdue.edu", role = c("aut", "cre")),

Depends: genefilter, Biobase, nnet, stats, methods

Depends: genefilter, Biobase, progress, stats, methods

Authors@R: c(person("Zhi", "Huang", email = "hz9423@gmail.com", role = c("aut", "cre")),

Title: Exact Variable-Subset Selection in Linear Regression
Authors@R: c(person(given = "Marc", family = "Hofmann",
person(given = "Cristian", family = "Gatu",
person(given = "Erricos J.", family = "Kontoghiorghes",
person(given = "Achim", family = "Zeileis",
comment = "for the Guidelines Support Library"))
Description: Exact and approximation algorithms for variable-subset
selection in ordinary linear regression models.
Microsoft Corporation [cph] (for the Guidelines Support Library)