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evolqg (version 0.4-3)

Evolutionary Quantitative Genetics

Description

Provides functions for covariance matrix comparisons, estimation of repeatabilities in measurements and matrices, and general evolutionary quantitative genetics tools. Melo D, Garcia G, Hubbe A, Assis A P, Marroig G. (2016) .

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Version

Install

install.packages('evolqg')

Monthly Downloads

770

Version

0.4-3

License

MIT + file LICENSE

Maintainer

Diogo Melo

Last Published

September 24th, 2026

Functions in evolqg (0.4-3)

KrzSubspaceBootstrap

Quasi-Bayesian Krzanowski subspace comparison

Krzanowski common subspaces analysis

Center2MeanJacobianFast

Centered jacobian residuals

Parametric population samples with covariance or correlation matrices

MultiMahalanobis

Calculate Mahalonabis distance for many vectors

Compare matrices via Mantel Correlation

Test single modularity hypothesis using Mantel correlation

CreateHypotMatrix

Creates binary correlation matrices

MultivDriftTest

Multivariate genetic drift test for 2 populations

Normalize and Norm

Partition2HypotMatrix

Create binary hypothesis

PCScoreCorrelation

PC Score Correlation Test

Compare matrices via the correlation between response vectors

Compare matrices via Krzanowski Correlation

Compare matrices via Modified Krzanowski Correlation

PlotKrzSubspace

Plot KrzSubspace boostrap comparison

KrzSubspaceDataFrame

Extract confidence intervals from KrzSubspaceBootstrap

Calculates ancestral states of some statistic

PlotRarefaction

Plot Rarefaction analysis

Mean Covariance Matrix

Random Skewers projection

Distribution overlap distance

Random correlation matrix

Compare matrices using PCA similarity factor

LocalShapeVariables

Local Shape Variables

Modularity and integration analysis tool

Generic Comparison Map functions for creating parallel list methods Internal functions for making eficient comparisons.

MeanMatrixStatistics

Calculate mean values for various matrix statistics

RelativeEigenanalysis

Relative Eigenanalysis

R2 confidence intervals by parametric sampling

Rarefaction analysis via resampling

Test modularity hypothesis

Parametric repeatabilities with covariance or correlation matrices

Drift test along phylogeny

Remove Size Variation

Compares sister groups

Mantel test with phylogenetic permutations

Tree for dentus example species

Print Matrix to file

PlotTreeDriftTest

Plot results from TreeDriftTest

Project Covariance Matrix

Rotate2MidlineMatrix

Example multivariate data set

Linear distances for five mouse lines

Matrix distance

Matrix Riemann distance

Compare matrices via Selection Response Decomposition

RarefactionStat

Non-Parametric rarefacted population samples and statistic comparison

SingleComparisonMap

Generic Single Comparison Map functions for creating parallel list methods Internal functions for making efficient comparisons.

Random matrices for tests

Compare matrices via RandomSkewers

Non-Parametric population samples and statistic comparison

Calculates mean correlations within- and between-modules

EigenTensorDecomposition

Eigentensor Decomposition

Test drift hypothesis

CalcRepeatability

Parametric per trait repeatabilities

Local Jacobian calculation

Alpha repeatability

CalculateMatrix

Calculate Covariance Matrix from a linear model fitted with lm()

Bootstrap analysis via resampling

CalcR2CvCorrected

Corrected integration value

Integration measure based on eigenvalue dispersion

Mean Squared Correlations

R2 confidence intervals by bootstrap resampling

Calculates the ICV of a covariance matrix.

BayesianCalculateMatrix

Calculate Covariance Matrix from a linear model fitted with lm() using different estimators

Control Inverse matrix noise with Extension