simrel: Simulation of Multivariate Linear Model Data

Simulate multivariate linear model data is useful in research and education weather for comparison or create data with specific properties. This package lets user to simulate linear model data of wide range of properties with few tuning parameters. The package also consist of function to create plots for the simulation objects and A shiny app as RStudio gadget. It can be a handy tool for model comparison, testing and many other purposes.

Version: 2.0
Depends: R (≥ 3.5.0)
Imports: FrF2, ggplot2, gridExtra, jsonlite, magrittr, miniUI, purrr, reshape2, rstudioapi, scales, sfsmisc, shiny, tibble, tidyr, rlang, testthat
Suggests: covr, knitr, pls
Published: 2019-04-01
Author: Raju Rimal [aut, cre], Solve Sæbø [aut, ths] (Original Creator of the package)
Maintainer: Raju Rimal <raju.rimal at nmbu.no>
BugReports: https://github.com/simulatr/simrel/issues
License: GPL-3 | file LICENSE
URL: https://simulatr.github.io/simrel/
NeedsCompilation: no
In views: ExperimentalDesign
CRAN checks: simrel results

Downloads:

Reference manual: simrel.pdf
Vignettes: Experimental Design and Simulation
Package source: simrel_2.0.tar.gz
Windows binaries: r-devel: simrel_2.0.zip, r-devel-gcc8: simrel_2.0.zip, r-release: simrel_2.0.zip, r-oldrel: simrel_2.0.zip
OS X binaries: r-release: simrel_2.0.tgz, r-oldrel: simrel_2.0.tgz
Old sources: simrel archive

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