check_Fcol

Takes a column name, and checks its use as inbreeding coefficient.
It should name a numeric vector, with values in the range [0,1]

Inbreeding-purging analysis of pedigreed populations, including the computation of the inbreeding coefficient, partial, ancestral and purged inbreeding coefficients, and measures of the opportunity of purging related to the individual reduction of inbreeding load.
In addition, functions to calculate the effective population size and other parameters relevant to population genetics are included.
See López-Cortegano E. (2021) <doi:10.1093/bioinformatics/btab599>.

Eugenio L<c3><b3>pez-Cortegano

purgeR

Inbreeding-Purging Estimation in Pedigreed Populations

Eugenio López-Cortegano

check_Fcol function

<dl><dt>ped</dt>
<dd>A dataframe containing the pedigree. Individual (id), maternal (dam), and paternal (sire) identities are mandatory columns.</dd>
<dt>Fcol</dt>
<dd>Name of column with inbreeding coefficient values. If none is used, inbreeding will be computed.</dd>
<dt>compute</dt>
<dd>Compute inbreeding if Fcol is NULL</dd></dl>

Arguments

Check columns with inbreeding values — check_Fcol

<dl>

<dt>ped</dt>
<dd>A dataframe containing the pedigree. Individual (id), maternal (dam), and paternal (sire) identities are mandatory columns.</dd>


<dt>Fcol</dt>
<dd>Name of column with inbreeding coefficient values. If none is used, inbreeding will be computed.</dd>


<dt>compute</dt>
<dd>Compute inbreeding if Fcol is NULL</dd>

</dl>

check_Fcol: Check columns with inbreeding values

Description

Usage

Value

Arguments