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) .


Reference manual

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2.1.0 by Raju Rimal, a month ago

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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