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easyCODA

Compositional Data Analysis in Practice

v0.40.2 · Aug 27, 2024 · GPL

Description

Univariate and multivariate methods for compositional data analysis, based on logratios. The package implements the approach in the book Compositional Data Analysis in Practice by Michael Greenacre (2018), where accent is given to simple pairwise logratios. Selection can be made of logratios that account for a maximum percentage of logratio variance. Various multivariate analyses of logratios are included in the package.

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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies ca vegan ellipse easyCODA

Version History

new 0.40.2 Mar 10, 2026
updated 0.40.2 ← 0.34.3 diff Aug 26, 2024
updated 0.34.3 ← 0.31.1 diff Sep 18, 2020
updated 0.31.1 ← 0.28 diff Mar 9, 2019
updated 0.28 ← 0.25 diff Nov 15, 2018
updated 0.25 ← 0.23 diff Aug 2, 2018
new 0.23 May 29, 2018