conStruct: Models Spatially Continuous and Discrete Population Genetic Structure

A method for modeling genetic data as a combination of discrete layers, within each of which relatedness may decay continuously with geographic distance. This package contains code for running analyses (which are implemented in the modeling language 'rstan') and visualizing and interpreting output. See the paper for more details on the model and its utility.

Version: 1.0.4
Depends: R (≥ 3.4.0), Rcpp (≥ 0.12.0), methods
Imports: rstan (≥ 2.18.1), rstantools (≥ 1.5.0), caroline, gtools, foreach, parallel, doParallel
LinkingTo: StanHeaders (≥ 2.18.0), rstan (≥ 2.18.1), BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0)
Suggests: knitr, rmarkdown, maps
Published: 2019-12-12
Author: Gideon Bradburd [aut, cre]
Maintainer: Gideon Bradburd <bradburd at msu.edu>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: NEWS
CRAN checks: conStruct results

Downloads:

Reference manual: conStruct.pdf
Vignettes: format-data
model-comparison
run-conStruct
visualize-results
Package source: conStruct_1.0.4.tar.gz
Windows binaries: r-devel: conStruct_1.0.4.zip, r-release: conStruct_1.0.4.zip, r-oldrel: conStruct_1.0.4.zip
macOS binaries: r-release: conStruct_1.0.4.tgz, r-oldrel: conStruct_1.0.4.tgz
Old sources: conStruct archive

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