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Multivariate Response Variance Component Models for R (mrvcr for short) is an R package port of the original Julia package by Hua Zhou, Minsoo Kim, and contributors in 2021

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LICENSE.md
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dunlr/mrvcr

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mrvcr

The goal of mrvcr is to …

Installation

You can install the development version of mrvcr from GitHub with:

# install.packages("devtools")
devtools::install_github("dunlr/mrvcr")

Example

This is a basic example which shows you how to solve a common problem:

library(devtools)
#> Warning: package 'devtools' was built under R version 4.4.3
#> Loading required package: usethis
library(mrvcr)
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)
#>      speed           dist       
#>  Min.   : 4.0   Min.   :  2.00  
#>  1st Qu.:12.0   1st Qu.: 26.00  
#>  Median :15.0   Median : 36.00  
#>  Mean   :15.4   Mean   : 42.98  
#>  3rd Qu.:19.0   3rd Qu.: 56.00  
#>  Max.   :25.0   Max.   :120.00

You’ll still need to render README.Rmd regularly, to keep README.md up-to-date. devtools::build_readme() is handy for this.

You can also embed plots, for example:

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.

About

Multivariate Response Variance Component Models for R (mrvcr for short) is an R package port of the original Julia package by Hua Zhou, Minsoo Kim, and contributors in 2021

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License

Unknown, MIT licenses found

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Unknown
LICENSE
MIT
LICENSE.md

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