unzip_example_data

For Linux/Unix and MacOS only, here is a companion function to unzip the .gz files that ship with the <code>plmmr</code> package

Fits penalized linear mixed models that correct for
unobserved confounding factors. 'plmmr' infers and corrects for the
presence of unobserved confounding effects such as population
stratification and environmental heterogeneity. It then fits a linear
model via penalized maximum likelihood. Originally designed for the
multivariate analysis of single nucleotide polymorphisms (SNPs)
measured in a genome-wide association study (GWAS), 'plmmr' eliminates
the need for subpopulation-specific analyses and post-analysis p-value
adjustments. Functions for the appropriate processing of 'PLINK'
files are also supplied. For examples, see the package homepage.
<https://pbreheny.github.io/plmmr/>.

Patrick Breheny

plmmr

Penalized Linear Mixed Models for Correlated Data

Tabitha K. Peter

Anna C. Reisetter

Yujing Lu

Oscar A. Rysavy

Patrick J. Breheny

unzip_example_data function

<dl><dt>outdir</dt>
<dd>The file path to the directory to which the .gz files should be written</dd></dl>

Arguments

For Linux/Unix and MacOS only, here is a companion function to unzip the .gz files that ship with the plmmr package — unzip_example_data

<dl>

<dt>outdir</dt>
<dd>The file path to the directory to which the .gz files should be written</dd>

</dl>

unzip_example_data: For Linux/Unix and MacOS only, here is a companion function to unzip the .gz files that ship with the `plmmr` package

Description

Usage

Value

Arguments

Details