doi:10.1016/j.chemolab.2015.05.012> and Rimal, R., Almøy, T., Sæbø, S. (2018) <doi:10.1016/j.chemolab.2018.02.009>.">

simrel: Simulation of Multivariate Linear Model Data (original) (raw)

Researchers have been using simulated data from a multivariate linear model to compare and evaluate different methods, ideas and models. Additionally, teachers and educators have been using a simulation tool to demonstrate and teach various statistical and machine learning concepts. This package helps users to simulate linear model data with a wide range of properties by tuning few parameters such as relevant latent components. In addition, a shiny app as an 'RStudio' gadget gives users a simple interface for using the simulation function. See more on: Sæbø, S., Almøy, T., Helland, I.S. (2015) <doi:10.1016/j.chemolab.2015.05.012> and Rimal, R., Almøy, T., Sæbø, S. (2018) <doi:10.1016/j.chemolab.2018.02.009>.

Version: 2.1.0
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, markdown, DoE.base
Published: 2021-09-17
DOI: 10.32614/CRAN.package.simrel
Author: Raju Rimal ORCID iD [aut, cre], Solve Sæbø ORCID iD [aut, ths] (Original creator of the package), Kristian Hovde LilandORCID iD [aut] (Contributor and coauthor of the univariate version of simrel)
Maintainer: Raju Rimal <raju.rimal at medisin.uio.no>
BugReports: https://github.com/simulatr/simrel/issues
License: GPL-3
URL: https://simulatr.github.io/simrel/
NeedsCompilation: no
In views: ExperimentalDesign
CRAN checks: simrel results

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