README.md

In MorphoFun/psa: Phenotypic Selection Analysis tools

Phenotypic Selection Analysis tools (psa)

Description

psa is a package with functions to estimate the strength and mode and phenotypic selection.

Features

Some of the main features include: Linear, quadratic, and correlational selection differentials, with option for bootstrapped standard errors Linear, quadratic, and correlational selection gradients, with option for bootstrapped standard errors Ordinary least-squares (OLS) regression method follows equations from Lande and Arnold (1983), so quadratic partial regression estimates and standard errors do NOT need to be doubled Data are standardardized to a mean of zero and unit variance, by default Options to compare selection coefficients and standard errors from different methods to evaluate robustness of estimates Option to evaluate how choice of traits influences estimates of selection gradients, when using the OLS regression

Vignettes

Easy tutorials on using some of the psa functions are available through the following vignettes: How to estimate linear and nonlinear selection differentials, and comparing output from different methods How to estimate linear and nonliear selection gradients, and comparing output from different methods

Installation

psa is currently in a development version, and can be access via:

library(devtools)
install_github("MorphoFun/psa", build_vignettes = TRUE)

MorphoFun/psa documentation built on Nov. 10, 2021, 7:01 a.m.