<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>alex-sandercock.r-universe.dev</title><link>https://alex-sandercock.r-universe.dev</link><description>Recent package updates in alex-sandercock</description><generator>R-universe</generator><image><url>https://github.com/alex-sandercock.png</url><title>R packages by alex-sandercock</title><link>https://alex-sandercock.r-universe.dev</link></image><lastBuildDate>Mon, 18 May 2026 12:03:32 GMT</lastBuildDate><item><title>[breeding-insight] BIGr 0.7.2</title><author>sandercock.alex@gmail.com (Alexander M. Sandercock)</author><description>Functions developed within Breeding Insight to analyze
diploid and polyploid breeding and genetic data. 'BIGr'
provides the ability to filter variant call format (VCF) files,
extract single nucleotide polymorphisms (SNPs) from diversity
arrays technology missing allele discovery count (DArT MADC)
files, and manipulate genotype data for both diploid and
polyploid species. It also serves as the core dependency for
the 'BIGapp' 'Shiny' app, which provides a user-friendly
interface for performing routine genotype analysis tasks such
as dosage calling, filtering, principal component analysis
(PCA), genome-wide association studies (GWAS), and genomic
prediction. For more details about the included 'breedTools'
functions, see Funkhouser et al. (2017)
&lt;doi:10.2527/tas2016.0003&gt;, and the 'updog' output format, see
Gerard et al. (2018) &lt;doi:10.1534/genetics.118.301468&gt;.</description><link>https://github.com/r-universe/breeding-insight/actions/runs/26035155474</link><pubDate>Mon, 18 May 2026 12:03:32 GMT</pubDate><r:package>BIGr</r:package><r:version>0.7.2</r:version><r:status>success</r:status><r:repository>https://breeding-insight.r-universe.dev</r:repository><r:upstream>https://github.com/breeding-insight/bigr</r:upstream></item><item><title>[alex-sandercock] castgen 1.0.2</title><author>ams866@cornell.edu (Alexander M. Sandercock)</author><description>Estimate sample sizes needed to capture target levels of
genetic diversity from a population (multivariate allele
frequencies) for applications like germplasm conservation and
breeding efforts. Compares bootstrap samples to a full
population using linear regression, employing the R-squared
value to represent the proportion of diversity captured.
Iteratively increases sample size until a user-defined target
R-squared is met. Offers a parallelized R implementation of a
previously developed 'python' method. All ploidy levels are
supported. For more details, see Sandercock et al. (2024)
&lt;doi:10.1073/pnas.2403505121&gt;.</description><link>https://github.com/r-universe/alex-sandercock/actions/runs/26496488615</link><pubDate>Wed, 02 Apr 2025 20:01:46 GMT</pubDate><r:package>castgen</r:package><r:version>1.0.2</r:version><r:status>success</r:status><r:repository>https://alex-sandercock.r-universe.dev</r:repository><r:upstream>https://github.com/alex-sandercock/castgen</r:upstream></item></channel></rss>