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mrvcr

Overview

mrvcr is a fast and memory safe way to use multivariate response variance component models.

Installation

You can install the development version of mrvcr like so:

# Use the following lines to install and load dunlr packages in R:

library(remotes) # or devtools if already installed <br/>
install_github("dunlr/pkg_name") # replace `pkg_name` with repository name from github <br/>
library(pkg_name)

Installing Rust

Rust is required for mrvcr to work. If you don’t have Rust installed, visit rustup.rs for installation instructions appropriate for your platform.

Alternatively, you may install Rust from your OS package manager.

Example

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

library(mrvcr)
#> 
#> Attaching package: 'mrvcr'
#> The following objects are masked from 'package:stats':
#> 
#>     glm, lm
## basic example code
# hello_world()

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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MIT
LICENSE.md

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