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) and Rimal, R., Almøy, T., Sæbø, S. (2018) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("simrel")

2.1.0 by Raju Rimal, a month ago


https://simulatr.github.io/simrel/


Report a bug at https://github.com/simulatr/simrel/issues


Browse source code at https://github.com/cran/simrel


Authors: 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 ,


Documentation:   PDF Manual  


Task views:


GPL-3 license


Imports FrF2, ggplot2, gridExtra, jsonlite, magrittr, miniUI, purrr, reshape2, rstudioapi, scales, sfsmisc, shiny, tibble, tidyr, rlang, testthat

Suggests covr, knitr, pls, markdown, DoE.base


See at CRAN