Package: Pstat 1.2

Blondeau Da Silva Stephane

Pstat: Assessing Pst Statistics

Calculating Pst values to assess differentiation among populations from a set of quantitative traits is the primary purpose of such a package. The bootstrap method provides confidence intervals and distribution histograms of Pst. Variations of Pst in function of the parameter c/h^2 are studied as well. Finally, the package proposes different transformations especially to eliminate any variation resulting from allometric growth (calculation of residuals from linear regressions, Reist standardizations or Aitchison transformation).

Authors:Blondeau Da Silva Stephane [aut, cre] - Da Silva Anne [aut].

Pstat_1.2.tar.gz
Pstat_1.2.tar.gz(r-4.5-noble)Pstat_1.2.tar.gz(r-4.4-noble)
Pstat_1.2.tgz(r-4.4-emscripten)Pstat_1.2.tgz(r-4.3-emscripten)
Pstat.pdf |Pstat.html✨
Pstat/json (API)

# Install 'Pstat' in R:
install.packages('Pstat', repos = 'https://cloud.r-project.org')
Datasets:
  • test - Example of a data frame

On CRAN:

Conda:

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

1.30 score 479 downloads 2 mentions 6 exports 0 dependencies

Last updated 7 years agofrom:92bf128606. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 18 2025
R-4.5-linuxOKMar 18 2025
R-4.4-linuxOKMar 18 2025

Exports:AitTransBootPstPstReistTransResTracePst

Dependencies:

Citation

To cite package ‘Pstat’ in publications use:

Stephane. BDS (2017). Pstat: Assessing Pst Statistics. R package version 1.2, https://CRAN.R-project.org/package=Pstat.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {Pstat: Assessing Pst Statistics},
    author = {Blondeau Da Silva Stephane.},
    year = {2017},
    note = {R package version 1.2},
    url = {https://CRAN.R-project.org/package=Pstat},
  }