delta_PVE

Output results of <code>calc_PVEnei()</code>.

TRUE/FALSE to plot the results (or not). Default is TRUE.

Arguments to be passed to <code>plot()</code>.

A function to calculate \(\Delta\)PVE that estimates the effective scale of neighbor effects.

To incorporate neighbor genotypic identity into genome-wide association studies, the package provides a set of functions for variation partitioning and association mapping. The theoretical background of the method is described in Sato et al. (2021) <doi:10.1038/s41437-020-00401-w>.

Yasuhiro Sato

rNeighborGWAS

Testing Neighbor Effects in Marker-Based Regressions

Eiji Yamamoto

Kentaro K. Shimizu

Atsushi J. Nagano

delta_PVE function

<dl><dt>res</dt>
<dd>Output results of <code>calc_PVEnei()</code>.</dd>
<dt>fig</dt>
<dd>TRUE/FALSE to plot the results (or not). Default is TRUE.</dd>
<dt>...</dt>
<dd>Arguments to be passed to <code><a href="/link/plot()?package=rNeighborGWAS&version=1.2.4" data-mini-rdoc="rNeighborGWAS::plot()">plot()</a></code>.</dd></dl>

Arguments

Yasuhiro Sato (<a href="/link/sato.yasuhiro.36c%40kyoto-u.jp?package=rNeighborGWAS&version=1.2.4" data-mini-rdoc="rNeighborGWAS::sato.yasuhiro.36c@kyoto-u.jp">sato.yasuhiro.36c@kyoto-u.jp</a>)

Author

Estimating the effective scale of neighbor effects — delta_PVE

<dl>

<dt>res</dt>
<dd>Output results of <code>calc_PVEnei()</code>.</dd>


<dt>fig</dt>
<dd>TRUE/FALSE to plot the results (or not). Default is TRUE.</dd>


<dt>...</dt>
<dd>Arguments to be passed to <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot()</a></code>.</dd>

</dl>

Yasuhiro Sato (<a href='mailto:sato.yasuhiro.36c@kyoto-u.jp'>sato.yasuhiro.36c@kyoto-u.jp</a>)

delta_PVE: Estimating the effective scale of neighbor effects

Description

Usage

Value

Arguments

Author

See Also