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>.
Package details |
|
---|---|
Author | Raju Rimal [aut, cre] (<https://orcid.org/0000-0001-6097-0285>), Solve Sæbø [aut, ths] (Original creator of the package, <https://orcid.org/0000-0001-8699-4592>), Kristian Hovde Liland [aut] (Contributor and coauthor of the univariate version of simrel, <https://orcid.org/0000-0001-6468-9423>) |
Maintainer | Raju Rimal <raju.rimal@medisin.uio.no> |
License | GPL-3 |
Version | 2.1.0 |
URL | https://simulatr.github.io/simrel/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.