Package: stockR 1.0.76

Scott D. Foster

stockR: Identifying Stocks in Genetic Data

Provides a mixture model for clustering individuals (or sampling groups) into stocks based on their genetic profile. Here, sampling groups are individuals that are sure to come from the same stock (e.g. breeding adults or larvae). The mixture (log-)likelihood is maximised using the EM-algorithm after finding good starting values via a K-means clustering of the genetic data. Details can be found in: Foster, S. D.; Feutry, P.; Grewe, P. M.; Berry, O.; Hui, F. K. C. & Davies (2020) <doi:10.1111/1755-0998.12920>.

Authors:Scott D. Foster [aut, cre]

stockR_1.0.76.tar.gz
stockR_1.0.76.tar.gz(r-4.5-noble)stockR_1.0.76.tar.gz(r-4.4-noble)
stockR_1.0.76.tgz(r-4.4-emscripten)stockR_1.0.76.tgz(r-4.3-emscripten)
stockR.pdf |stockR.html
stockR/json (API)
NEWS

# Install 'stockR' in R:
install.packages('stockR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 5 scripts 165 downloads 1 mentions 5 exports 3 dependencies

Last updated 2 years agofrom:3c49ef6248. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024

Exports:calcFstplot.stockBOOT.objectsim.stock.datastockBOOTstockSTRUCTURE

Dependencies:gtoolsRColorBrewerRcpp

stockR Introduction

Rendered fromstockR.rnwusingknitr::knitron Nov 07 2024.

Last update: 2023-04-26
Started: 2023-04-26