Package: simrel 2.1.0

Raju Rimal

simrel: Simulation of Multivariate Linear Model Data

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>.

Authors:Raju Rimal [aut, cre], Solve Sæbø [aut, ths], Kristian Hovde Liland [aut]

simrel_2.1.0.tar.gz
simrel_2.1.0.zip(r-4.7)simrel_2.1.0.zip(r-4.6)simrel_2.1.0.zip(r-4.5)
simrel_2.1.0.tgz(r-4.6-any)simrel_2.1.0.tgz(r-4.5-any)
simrel_2.1.0.tar.gz(r-4.7-any)simrel_2.1.0.tar.gz(r-4.6-any)
simrel_2.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
simrel/json (API)

# Install 'simrel' in R:
install.packages('simrel', repos = c('https://simulatr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/simulatr/simrel/issues

Pkgdown/docs site:https://simulatr.github.io

On CRAN:

Conda:

bivariate-simulationmultivariate-simulationrelevant-predictor-componentssimulated-datasimulationunivariate-simulation

4.78 score 3 stars 40 scripts 237 downloads 24 exports 92 dependencies

Last updated from:fecd13c7a4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK205
source / vignettesOK201
linux-release-x86_64OK176
macos-release-arm64OK154
macos-oldrel-arm64OK162
windows-develOK125
windows-releaseOK152
windows-oldrelOK142
wasm-releaseOK132

Exports:%>%abs_sigmaAppSimrelbisimrelcov_matcov_plot_dataexpect_subsetggsimrelplotmbrdmbrdsimmsimmultisimrelparse_parmplot_betaplot_covplot_covarianceplot_simrelprepare_designsimrelsimrelplottidy_betatidy_lambdatidy_sigmaunisimrel

Dependencies:base64encbriobslibcachemcallrclicolorspacecombinatcommonmarkconf.designcpp11crayondescdiffobjdigestDoE.basedplyrevaluatefarverfastmapfontawesomeFrF2fsgenericsggplot2gluegmpgridExtragtablehtmltoolshttpuvigraphisobandjquerylibjsonlitelabelinglaterlatticelifecyclelmtestmagrittrMASSMatrixmemoisemimeminiUInumbersotelpartitionspillarpkgbuildpkgconfigpkgloadplyrpolynompraiseprocessxpromisespspurrrR6rappdirsrbibutilsRColorBrewerRcppRdpackreshape2rlangrprojrootrstudioapiS7sassscalesscatterplot3dsetssfsmiscshinysourcetoolsstringistringrtestthattibbletidyrtidyselectutf8vcdvctrsviridisLitewaldowithrxtablezoo

Experimental Design and Simulation

Rendered frommbrdsim.Rmdusingknitr::knitron May 22 2026.

Last update: 2018-10-04
Started: 2017-11-26