Description: Tests, utilities, and case studies for analyzing significance in
clustered binary matched-pair data. The central function clust.bin.pair uses
one of several tests to calculate a Chi-square statistic. Implemented are the
included for comparison. The utility functions nested.to.contingency and
paired.to.contingency convert data between various useful formats. Thyroids
and psychiatry are the canonical datasets from Obuchowski and Petryshen (1989)
Packaged: 2018-02-15 17:28:53 UTC; dgopstein

Maintainer: Martí Renedo Mirambell <marti.renedo@gmail.com>
Description: Evaluates the stability and significance of clusters on 'igraph' graphs.
Supports weighted and unweighted graphs. Implements the cluster evaluation methods
defined by Arratia A, Renedo M (2021) <doi:10.7717/peerj-cs.600>.
Imports: Rcpp (>= 1.0.1), mcclust, mclust, truncnorm, boot, fossil,
Suggests: igraphdata, knitr, rmarkdown, testthat,

defined by Arratia A, Renedo M (2021) <doi:10.7717/peerj-cs.600>. Also includes an
implementation of the Reduced Mutual Information introduced by Newman et al. (2020).

implementation of the Reduced Mutual Information introduced by Newman et al. (2020)

Title: Clustering Dose-Response Curves and Fitting Appropriate Models
person("Yimer", "Wasihun", email= "YKifle@its.jnj.com", role = "aut"),
person("Martin", "Otava", email= "motava@ITS.JNJ.com", role = "aut"),
person("Fetene", "Tekle", email= "ftekle@ITS.JNJ.com", role = "aut"),
person("Kanaka", "Tatikola", email= "KTATIKOL@its.jnj.com", role = "aut"),
person("Ziv", "Shkedy", email= "ziv.shkedy@uhasselt.be", role = "aut"))
Description: Functions to identify the pattern of a dose-response
curve. Then fit a set of appropriate models to it according to the identified pattern,
followed by model averaging to estimate the effective dose.
Imports: doParallel, parallel, foreach, caret, ORCME, ORIClust,
multcomp, IsoGene, DoseFinding, pheatmap, shiny, readr, DT,

Title: Clusters of Effect Curves in Quantile Regression Models
Authors@R: c(person("Gianluca", "Sottile", role = c("aut", "cre"),
person("Giada", "Adelfio", role = "ctb",
Description: Clustering method to cluster both curves effects, through quantile regression coefficient modeling, and curves in functional data analysis. Sottile G. and Adelfio G. (2017) <https://iwsm2017.webhosting.rug.nl/IWSM_2017_V2.pdf>.
Packaged: 2017-09-26 09:48:26 UTC; gianlucasottile