Package: tidygenclust 0.1.4

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_0.1.4.tar.gz
tidygenclust_0.1.4.zip(r-4.7-any)tidygenclust_0.1.4.zip(r-4.6-any)tidygenclust_0.1.4.zip(r-4.5-any)
tidygenclust_0.1.4.tgz(r-4.6-any)tidygenclust_0.1.4.tgz(r-4.5-any)
tidygenclust_0.1.4.tar.gz(r-4.7-any)tidygenclust_0.1.4.tar.gz(r-4.6-any)
tidygenclust_0.1.4.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:b22b33a062 (on main). Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING165
source / vignettesERROR309
linux-releaseWARNING179
macos-releaseWARNING120
macos-oldrelWARNING132
windows-develWARNING200
windows-releaseWARNING211
windows-oldrelWARNING219
wasm-releaseOK164

Exports:%>%augmentautoplotgt_clumpplinggt_fastmixturescale_fill_distructsubset_gt_clumpplingtgc_tools_installtgc_tools_versiontheme_distructtidy

Dependencies:BHbigassertrbigparallelrbigreadrbigsnprbigsparserbigstatsrbigutilsrbitclassclassIntclicodetoolscowplotcpp11data.tableDBIDEoptimRdigestdoParalleldoRNGdplyre1071farverffflockforeachgenericsggplot2gluegtablehereisobanditeratorsjsonliteKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixnaborparallellypatchworkpillarpkgconfigpngproxypspurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppTOMLreticulateRhpcBLASctlrlangrmiorngtoolsrobustbaseroptimrprojrootRSpectrarunnerrunonces2S7scalessfstringistringrtibbletidypopgentidyrtidyselecttriebeardunitsurltoolsutf8vctrsviridisLitewithrwk