Computes regression deletion diagnostics for multivariate linear models and provides some associated
diagnostic plots.  The diagnostic measures include hat-values (leverages), generalized Cook's distance, and
generalized squared 'studentized' residuals.  Several types of plots to detect influential observations are
provided.

person(given ="Michael",
family = "Friendly",
email = "friendly@yorku.ca",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-3237-0941"))
knitr, rmarkdown, ggplot2, tibble, patchwork, rgl, dplyr

Multivariate Meshes and Histograms in Arbitrary Dimensions
Define, manipulate and plot meshes on simplices, spheres, balls, and rectangles for use in
multivariate statistics.  Directional and other multivariate histograms are provided.

Define, manipulate and plot meshes on simplices, spheres, balls, rectangles and tubes.
Directional and other multivariate histograms are provided.

R (>= 3.0), rcdd, rgl, geometry, abind, SimplicialCubature

The package mvmeta contains functions to run fixed and
random effects meta-analysis and meta-regression on multiple
outcomes.

stats, graphics, grDevices, utils, Matrix

The package mvmeta consists of a collection of functions
to perform fixed and random-effects multivariate and univariate
meta-analysis and meta-regression in R.

Multivariate and univariate meta-analysis and meta-regression
The package mvmeta consists of a collection of functions to perform fixed and random-effects multivariate and univariate meta-analysis and meta-regression in R.

Multivariate and Univariate Meta-Analysis and Meta-Regression
Collection of functions to perform fixed and random-effects multivariate and univariate meta-analysis and meta-regression.

mixmeta, stats, graphics, grDevices, utils

c(person("Natalya", "Pya", role = c("aut", "cre"),
email = "nat.pya@gmail.com"),
person("Vassilly", "Voinov", role = "aut",
email = "voinovv@kimep.kz"),
person("Rashid", "Makarov", role = "aut",
email = "rashidm@kimep.kz"),
person("Yevgeniy", "Voinov", role = "aut",
email = "v.yevgeniy@yahoo.com"))
Natalya Pya [aut, cre], Vassilly Voinov [aut], Rashid Makarov [aut], Yevgeniy     Voinov [aut]
Goodness of Fit Tests for Multivariate Normality
Routines for assessing multivariate normality. Implements three Wald's type chi-squared tests; non-parametric Anderson-Darling and Cramer-von Mises tests; Doornik-Hansen test,  Royston test and Henze-Zirkler test.