A numeric scalar indicating spatial distance at which the distance decay is referred

A numeric scalar indicating a decay coefficient

An option to select a negative exponential <code>"exp"</code> or Gaussian <code>"gaussian"</code> for a dispersal kernel of neighbor effects.

kernel

A function to calculate, with a negative exponential or Gaussian dispersal kernel.

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

w function

<dl><dt>s</dt>
<dd>A numeric scalar indicating spatial distance at which the distance decay is referred</dd>
<dt>a</dt>
<dd>A numeric scalar indicating a decay coefficient</dd>
<dt>kernel</dt>
<dd>An option to select a negative exponential <code>"exp"</code> or Gaussian <code>"gaussian"</code> for a dispersal kernel of neighbor effects.</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

Calculating a distance decay weight — w

<dl>

<dt>s</dt>
<dd>A numeric scalar indicating spatial distance at which the distance decay is referred</dd>


<dt>a</dt>
<dd>A numeric scalar indicating a decay coefficient</dd>


<dt>kernel</dt>
<dd>An option to select a negative exponential <code>"exp"</code> or Gaussian <code>"gaussian"</code> for a dispersal kernel of neighbor effects.</dd>

</dl>

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

w: Calculating a distance decay weight

Description

Usage

Value

Arguments

Author