Correcting the Coverage of Credible Sets from Bayesian Genetic
Fine Mapping
covr, dplyr, knitr, mvtnorm, rmarkdown, testthat, pkgdown

Bernard Rosner, Shelley Tworoger, Weiliang Qiu
Correcting area under ROC (AUC) for measurement error based on probit-shift model.

Functions and Methods for Correspondence Regression
person("Koen", "Plevoets", email="koen.plevoets@ugent.be",
role=c("aut", "cre"))
A collection of tools for correspondence regression, i.e. the
correspondence analysis of the crosstabulation of a categorical variable Y
in function of another one X, where X can in turn be made up of the
combination of various categorical variables. Consequently, correspondence
regression can be used to analyze the effects for a polytomous or
multinomial outcome variable.

person("Koen", "Plevoets", email="koen.plevoets@kuleuven.be",
role=c("aut", "cre"))
R (>= 3.1.0), graphics, diagram, rgl, stats

R (>= 3.2.0), graphics, diagram, rgl, stats

Multivariate Data Generation by Permutation
Pascal van Kooten <kootenpv@gmail.com>,
Gerko Vink <g.vink@uu.nl>
Through permutations, obtain a multivariate distribution between univariate variables by specifying a correlation matrix.

c(
person("Dominique",
"Makowski",
email = "dom.makowski@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-5375-9967")),
person("Daniel",
"Lüdecke",
role = c("aut"),
email = "d.luedecke@uke.de",
comment = c(ORCID = "0000-0002-8895-3206")),
person("Mattan S.",
"Ben-Shachar",
role = c("ctb"),
email = "matanshm@post.bgu.ac.il",
comment = c(ORCID = "0000-0002-4287-4801")),
person("Indrajeet",
"Patil",
role = c("ctb"),
email = "patilindrajeet.science@gmail.com",
comment = c(ORCID = "0000-0003-1995-6531"))
)
Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Relies on the easystats ecosystem (Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>).
stats, boot, insight (>= 0.8.0), bayestestR (>= 0.5.0),
parameters (>= 0.5.0), effectsize (>= 0.2.0)
BayesFactor, dplyr, energy, ggcorrplot, ggplot2, Hmisc,
knitr, lme4, polycor, ppcor, psych, rmcorr, testthat, tidyr,
covr, rstanarm, rmarkdown, see, WRS2
Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>),
Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>),
Mattan S. Ben-Shachar [ctb] (<https://orcid.org/0000-0002-4287-4801>),
Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>)