Calculation of Evolvability Parameters

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Documentation for package ‘evolvability’ version 2.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

evolvability-package	Calculation of Evolvability Parameters
Almer	Linear mixed model with correlated random effects structure
Almer_boot	Parametric bootstrap on 'Almer' model fit
Almer_SE	Linear mixed model for response variables with uncertainty
Almer_sim	Simulate responses from 'Almer' fit
conditionalG	Computing a conditional sub-matrix of G
evolvability	Calculation of Evolvability Parameters
evolvabilityBeta	Calculate evolvability parameters along a set of selection gradients
evolvabilityBetaMCMC	Calculate posterior distribution of evolvability parameters from a set of selection gradients
evolvabilityBetaMCMC2	Calculate posterior distribution of evolvability parameters from a selection gradient estimated with uncertainty
evolvabilityMeans	Calculate average evolvability parameters of a G-matrix
evolvabilityMeansMCMC	Calculate posterior distribution of average evolvability parameters of a G-matrix
GLS	Generalized least square
macro_pred	Macroevolutionary predictions
meanStdG	Mean standardize a variance matrix
meanStdGMCMC	Mean standardize the posterior distribution of a G-matrix
phylH	Phylogenetic heritability
plot.rate_gls	Plot of rate_gls object
plot.simulate_rate	Plot of simulate_rate object
randomBeta	Generating selection gradients/vectors in random directions.
rate_gls	Generalized least squares rate model
rate_gls_boot	Bootstrap of the 'rate_gls' model fit
rate_gls_sim	Simulate responses from 'rate_gls' fit
responsediffBeta	Calculate response differences along a set of selection gradients
round_and_format	Rounds and formats in the same function
simulate_rate	Simulating evolutionary rate model
summary.evolvabilityBeta	Summarizing evolvability parameters over a set of selection gradients
summary.evolvabilityBetaMCMC	Summarizing posterior distribution of evolvability parameters over a set of selection gradients
summary.responsediffBeta	Summarizing response differences over a set of selection gradients