Package: tidygenclust 0.1.2

Andrea Manica

tidygenclust: Clustering for Population Genetics in R

A tidy interface to clustering in population genetics. This package provides a set of functions to perform clustering on genetic data, and to visualize the results, both for single runs and for multiple repeats of the same analysis. 'tidygenclust' ports the 'fastmixture' and 'clumppling' python modules to R, and it is built on top of the 'tidypopgen' package. Currently it works only on Linux and OSX (you can use the WSL on Windows).

Authors:Eirlys Tysall [aut], Anahit Hovhannisyan [aut], Evie Carter [aut], Andrea Pozzi [aut], Cecilia Padilla-Iglesias [aut], Michela Leonardi [aut], Aramish Fatima [aut], Ondrej Pelanek [aut], Nile Stephenson [aut], Margherita Colucci [aut], Andrea Manica [aut, cre]

tidygenclust_0.1.2.tar.gz
tidygenclust_0.1.2.zip(r-4.7)tidygenclust_0.1.2.zip(r-4.6)tidygenclust_0.1.2.zip(r-4.5)
tidygenclust_0.1.2.tgz(r-4.6-any)tidygenclust_0.1.2.tgz(r-4.5-any)
tidygenclust_0.1.2.tar.gz(r-4.7-any)tidygenclust_0.1.2.tar.gz(r-4.6-any)
tidygenclust_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
tidygenclust/json (API)

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

Bug tracker:https://github.com/evolecolgroup/tidygenclust/issues

Datasets:

On CRAN:

Conda:

3.24 score 1 stars 5 scripts 11 exports 87 dependencies

Last updated from:42a4b8d2eb (on main). Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING197
source / vignettesERROR248
linux-release-x86_64WARNING210
macos-release-arm64WARNING120
macos-oldrel-arm64WARNING131
windows-develWARNING135
windows-releaseWARNING146
windows-oldrelWARNING259
wasm-releaseOK203

Exports:%>%augmentautoplotgt_clumpplinggt_fastmixturescale_fill_distructsubset_gt_clumpplingtgc_tools_installtgc_tools_versiontheme_distructtidy

Dependencies:BHbigassertrbigparallelrbigreadrbigsnprbigsparserbigstatsrbigutilsrbitclassclassIntclicodetoolscowplotcpp11data.tableDBIDEoptimRdigestdoParalleldoRNGdplyre1071farverffflockforeachgenericsggplot2gluegtablehereisobanditeratorsjsonliteKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixnaborparallellypatchworkpillarpkgconfigpngproxypspurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppTOMLreticulateRhpcBLASctlrlangrmiorngtoolsrobustbaseroptimrprojrootRSpectrarunnerrunonces2S7scalessfstringistringrtibbletidypopgentidyrtidyselecttriebeardunitsurltoolsutf8vctrsviridisLitewithrwk