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MM-116 new version for CRAN upload (#108)
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* MM-116 new version for CRAN upload

* MM-116 wording for google search
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jdstamp authored Sep 21, 2023
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3 changes: 3 additions & 0 deletions NEWS.md
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# mvMAPIT (development version)

# mvMAPIT 2.0.2 release

* Added Cauchy combination test `cauchy_combined` including vignette that compares combination methods
* `simulate_traits` now returns genotype matrix with causal epistatic variants named according to the trait they affect
* Added progress bar and possibility to interrupt C++ routine using `RcppProgress`
* Fixed "incorrect number of dimensions" error in `simulate_data.R`

# mvMAPIT 2.0.1 release

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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -12,6 +12,8 @@ Find the full package documentation including examples and articles here: [Multi
This R package is a generalization of the [MAPIT
implementation](https://github.com/lorinanthony/MAPIT) by Crawford et
al. (2017)[^1] for any number of traits as described by Stamp et al. (2023)[^2].
The univariate MAPIT test for marginal epistasis is implemented as the special
case of running multivariate MAPIT with a single trait.

mvMAPIT is implemented as a set of R and C++ routines, which can be
carried out within an R environment.
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8 changes: 4 additions & 4 deletions vignettes/mvMAPIT.Rmd
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---
title: "Illustrating mvMAPIT with Simulated Data"
title: "Illustrating multivariate MAPIT with Simulated Data"
author: "Julian Stamp"
date: "`r Sys.Date()`"
output: rmarkdown::html_vignette
description: >
Learn how to analyze data with mvMAPIT.
Learn how to test quantitative traits and genetics data for epistasis with multivariate MAPIT.
vignette: >
%\VignetteIndexEntry{Illustrating mvMAPIT with Simulated Data}
%\VignetteIndexEntry{Illustrating multivariate MAPIT with Simulated Data}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
---
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### Please Cite Us

If you use mvMAPIT in published research, please cite:
If you use multivariate MAPIT in published research, please cite:

> * Crawford L, Zeng P, Mukherjee S, & Zhou X (2017). Detecting epistasis
> with the marginal epistasis test in genetic mapping studies of quantitative
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