Package: familial 1.0.7

familial: Statistical Tests of Familial Hypotheses

Provides functionality for testing familial hypotheses. Supports testing centers belonging to the Huber family. Testing is carried out using the Bayesian bootstrap. One- and two-sample tests are supported, as are directional tests. Methods for visualizing output are provided.

Authors:Ryan Thompson [aut, cre]

familial_1.0.7.tar.gz
familial_1.0.7.zip(r-4.7)familial_1.0.7.zip(r-4.6)familial_1.0.7.zip(r-4.5)
familial_1.0.7.tgz(r-4.6-any)familial_1.0.7.tgz(r-4.5-any)
familial_1.0.7.tar.gz(r-4.7-any)familial_1.0.7.tar.gz(r-4.6-any)
familial_1.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
familial/json (API)

# Install 'familial' in R:

install.packages('familial', repos = c('https://ryan-thompson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ryan-thompson/familial/issues

On CRAN:

4.18 score 3 stars 7 scripts 221 downloads 6 exports 47 dependencies

Last updated from:e22fcab8fa. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	180
source / vignettes	OK	208
linux-release-x86_64	OK	180
macos-release-arm64	OK	187
macos-oldrel-arm64	OK	255
windows-devel	OK	165
windows-release	OK	158
windows-oldrel	OK	141
wasm-release	OK	108

Exports:bayes.boot center.test fit.family rudirichlet weighted.mad weighted.median

Dependencies:abind boot cli colorspace cpp11 crs cubature DEoptimR DepthProc farver geometry ggplot2 glue gtable isoband labeling lattice lifecycle linprog lpSolve magic MASS Matrix MatrixModels matrixStats mvtnorm np pcaPP quadprog quantreg R6 RColorBrewer Rcpp RcppArmadillo RcppProgress rlang robustbase rrcov S7 scales sm SparseM survival vctrs viridisLite withr zoo

Guide to familial

Introduction | One-sample tests | Two-sample tests

Rendered fromvignette.Rmdusingknitr::rmarkdown

Last update: 2022-05-04
Started: 2021-10-06

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bayesian bootstrap	bayes.boot
Center test	center.test
Fit family	fit.family
Plot function for 'center.test' object	plot.center.test
Plot function for 'fit.family' object	plot.fit.family
Print function for 'center.test' object	print.center.test
Uniform Dirichlet distribution	rudirichlet
Weighted statistics	weighted weighted.mad weighted.median