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PHENIX (version 1.3.2)

Phenotypic Integration Index

Description

Provides functions to estimate the size-controlled phenotypic integration index, a novel method by Torices & Méndez (2014) to solve problems due to individual size when estimating integration (namely, larger individuals have larger components, which will drive a correlation between components only due to resource availability that might obscure the observed measures of integration). In addition, the package also provides the classical estimation by Wagner (1984) , bootstrapping and jackknife methods to calculate confidence intervals and a significance test for both integration indices. Further details can be found in Torices & Muñoz-Pajares .

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Version

Install

install.packages('PHENIX')

Monthly Downloads

172

Version

1.3.2

License

GPL (>= 2)

Maintainer

AJ MuozPajares

Last Published

September 25th, 2025

Functions in PHENIX (1.3.2)

PHENIX-package

size-controlled phenotypic integration index
pint.boot

Phenotypic integration (by Wagner) bootstrap intervals
pint.p

Phenotypic integration index (by Wagner) significance test
paeonia

phenotypic integration example dataset #1
pint

Phenotypic integration index by Wagner
pintsc

size-controlled phenotypic integration
cor.par

Partial correlation
pint.jack

Phenotypic integration (by Wagner) jackknife resampling
pintsc.jack

size-controlled phenotypic integration jackknife resampling
pintsc.boot

size-controlled phenotypic integration bootstrap intervals
tussilago

phenotypic integration example dataset #2
pintsc.p

size-controlled phenotypic integration index significance test