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Pstat  

Assessing Pst Statistics
View on CRAN: Click here


Download and install Pstat package within the R console
Install from CRAN:
install.packages("Pstat")

Install from Github:
library("remotes")
install_github("cran/Pstat")

Install by package version:
library("remotes")
install_version("Pstat", "1.2")



Attach the package and use:
library("Pstat")
Maintained by
Blondeau Da Silva Stephane
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-25
Latest Update: 2017-11-05
Description:
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).
How to cite:
Blondeau Da Silva Stephane (2017). Pstat: Assessing Pst Statistics. R package version 1.2, https://cran.r-project.org/web/packages/Pstat. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:17), 1.0 (2017-02-25 16:59), 1.1 (2017-11-01 17:52)
Other packages that cited Pstat R package
View Pstat citation profile
Other R packages that Pstat depends, imports, suggests or enhances
Complete documentation for Pstat
Functions, R codes and Examples using the Pstat R package
Some associated functions: AitTrans . BootPst . Pst . Pstat-package . ReistTrans . Res . TracePst . test . 
Some associated R codes: AitTrans.R . BootPst.R . Pst.R . ReistTrans.R . Res.R . TracePst.R .  Full Pstat package functions and examples
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