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>.
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 |
Author: |
Raju Rimal [aut,
cre],
Solve Sæbø [aut,
ths] (Original creator of the package),
Kristian Hovde Liland
[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 |
Documentation:
Downloads:
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