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Flexible Data Simulation Using the Multivariate Normal Distribution

Installation

About

This R package can be used to generate artificial data conditionally on pre-specified (simulated or user-defined) relationships between the variables and/or observations. Each observation is drawn from a multivariate Normal distribution where the mean vector and covariance matrix reflect the desired relationships. Outputs can be used to evaluate the performances of variable selection, graphical modelling, or clustering approaches by comparing the true and estimated structures (B Bodinier et al (2021) ).

Key Metrics

Version 1.4.0
Published 2023-04-13 371 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks fake results
Language en-GB

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Maintainer

Maintainer

Barbara Bodinier

barbara.bodinier@gmail.com

Authors

Barbara Bodinier

aut / cre

Material

README
NEWS
Reference manual
Package source

macOS

r-devel

arm64

r-release

arm64

r-oldrel

arm64

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

fake archive

Imports

huge
igraph
MASS
Rdpack
withr ≥ 2.4.0

Suggests

testthat ≥ 3.0.0

Reverse Depends

sharp