rlang, rstudioapi (>= 0.2), xml2 (>= 1.0.0), parallel, memoise,

Packaged: 2019-08-23 19:38:31 UTC; Administrator

upload the results to a coverage service like 'Codecov' <https://codecov.io> or
'Coveralls' <https://coveralls.io>. Code coverage is a measure of the amount of
Suggests: R6, curl, knitr, rmarkdown, htmltools, DT (>= 0.2), testthat,

person("Doug", "Kelkhoff", role = "ctb"),
upload the results to a coverage service like 'Codecov' <https://about.codecov.io> or
Packaged: 2022-08-24 14:15:57 UTC; jimhester

Packaged: 2022-08-26 13:56:05 UTC; jimhester

Title: A simultaneous regression model for the mean and covariance
Description: This package fits a simultaneous regression model for the mean vectors and covariance matrices of multivariate response variables, as described in Hoff and Niu (2012). The explanatory variables can be continuous or discrete. The current version of the package provides the Bayesian estimates.

Title: Tests for Determining if the Covariance Structure of
Authors@R: c(person("Shahin", "Tavakoli", email = "s.tavakoli@statslab.cam.ac.uk", role = c("aut", "cre")),
person("Davide", "Pigoli", email = "dp497@cam.ac.uk", role = c("ctb")),
person("John", "Aston", email = "j.aston@statslab.cam.ac.uk", role = c("ctb")))
Description: Functions for testing if the covariance structure of 2-dimensional data
(e.g. samples of surfaces X_i = X_i(s,t)) is separable, i.e. if covariance(X) = C_1 x C_2.
A complete descriptions of the implemented tests can be found in the paper

Authors@R: c(person("Shahin", "Tavakoli", email = "s.tavakoli@warwick.ac.uk", role = c("aut", "cre")),
person("Davide", "Pigoli", email = "davide.pigoli@kcl.ac.uk", role = c("ctb")),
(e.g. samples of surfaces X_i = X_i(s,t)) is separable, i.e. if covariance(X) =
Aston, John A. D.; Pigoli, Davide; Tavakoli, Shahin. Tests for separability in
nonparametric covariance operators of random surfaces. Ann. Statist. 45 (2017),

Title: VITA and IG Simulation for Given Covariance and Marginals
Authors@R: c(person("Njål", "Foldnes", email = "njal.foldnes@gmail.com", role = c("aut", "cre")),
person("Steffen", "Grønneberg", email = "steffeng@gmail.com", role = c("aut")))
Description: User specifies population covariance matrix. Marginal information may be fully
specified, for which the package implements the VITA (VIne-To-Anything) algorithm.
Alternatively, marginal skewness and kurtosis may be specified, for which the package
implements the IG (independent generator) algorithm. Foldnes and Olsson (2016) <doi:10.1080/00273171.2015.1133274>.
Imports: rvinecopulib (>= 0.5.1.1.0), lavaan (>= 0.6-5), nleqslv,