Simulation of Multivariate Linear Model Data

Simulate multivariate linear model data is useful in research and education weather for comparison or create data with specific properties. This package lets user to simulate linear model data of wide range of properties with few tuning parameters. The package also consist of function to create plots for the simulation objects and A shiny app as RStudio gadget. It can be a handy tool for model comparison, testing and many other purposes.


Reference manual

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2.0.2 by Raju Rimal, 9 months ago

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Authors: Raju Rimal [aut, cre] , Solve Sæbø [aut, ths] (Original Creator of the package)

Documentation:   PDF Manual  

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GPL-3 | file LICENSE license

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

Suggests covr, knitr, pls

See at CRAN