Package: conStruct 1.0.7

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.

Authors:Gideon Bradburd [aut, cre]

conStruct_1.0.7.tar.gz
conStruct_1.0.7.zip(r-4.7-x86_64)conStruct_1.0.7.zip(r-4.7-arm64)conStruct_1.0.7.zip(r-4.6-x86_64)conStruct_1.0.7.zip(r-4.6-arm64)conStruct_1.0.7.zip(r-4.5-x86_64)
conStruct_1.0.7.tgz(r-4.6-x86_64)conStruct_1.0.7.tgz(r-4.6-arm64)conStruct_1.0.7.tgz(r-4.5-x86_64)conStruct_1.0.7.tgz(r-4.5-arm64)
conStruct_1.0.7.tar.gz(r-4.7-arm64)conStruct_1.0.7.tar.gz(r-4.7-x86_64)conStruct_1.0.7.tar.gz(r-4.6-arm64)conStruct_1.0.7.tar.gz(r-4.6-x86_64)
conStruct_1.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
conStruct/json (API)

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

Bug tracker:https://github.com/gbradburd/construct/issues

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:
  • conStruct.data - Example dataset used in a 'conStruct' analysis
  • data.block - Example 'data.block' generated by a 'conStruct' analysis

On CRAN:

Conda:

onetbbcpp

9.10 score 39 stars 90 scripts 698 downloads 10 mentions 9 exports 54 dependencies

Last updated from:9d23e6d760. Checks:15 OK. Indexed: yes.

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source / vignettesOK614
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windows-devel-arm64OK652
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windows-release-x86_64OK494
windows-oldrel-x86_64OK434
wasm-releaseOK187

Exports:calculate.layer.contributioncompare.two.runsconStructmake.admix.pie.plotmake.all.the.plotsmake.structure.plotmatch.layers.x.runsstructure2conStructx.validation

Dependencies:abindbackportsBHcallrcarolinecheckmateclicodetoolscpp11descdistributionaldoParallelfarverforeachgenericsggplot2gluegridExtragtablegtoolsinlineisobanditeratorslabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr

How to format data for a conStruct analysis
Format data | conStruct data | Allele frequency data | Geographic sampling coordinates | Geographic distance matrix | Other formats to conStruct | STRUCTURE to conStruct | STRUCTURE data format | Microsatellites
Rendered fromformat-data.Rmdusingknitr::rmarkdown

Last update: 2023-12-21
Started: 2018-08-15

How to visualize the results of a conStruct analysis
Visualize results | Make all the plots | Visualizing estimated admixture proportions | STRUCTURE plots | Order STRUCTURE plots | ADMIXTURE pie plots | Pie plot on a map | Comparing two conStruct runs
Rendered fromvisualize-results.Rmdusingknitr::rmarkdown

Last update: 2019-01-02
Started: 2018-09-04

How to compare conStruct model runs
Model comparison | Cross-validation | How it works | How to run a cross-validation analysis | Visualizing results | Interpreting results | Parallelization | Layer contributions | How to calculate layer contributions | Cross-validation vs. Layer contribution | Advanced options | Specifying data partitions
Rendered frommodel-comparison.Rmdusingknitr::rmarkdown

Last update: 2018-09-05
Started: 2018-08-21

How to run a conStruct analysis
Run conStruct | Running a conStruct analysis | Spatial Model | Nonspatial Model | Other function options | Model diagnosis | MCMC diagnosis | Independent runs | Missing data
Rendered fromrun-conStruct.Rmdusingknitr::rmarkdown

Last update: 2018-09-05
Started: 2018-08-15