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A B C D E F J K L M N O P R S T
| AlphaRep | Alpha repeatability |
| Autonomy | Calculate mean values for various matrix statistics |
| BayesianCalculateMatrix | Calculate Covariance Matrix from a linear model fitted with lm() using different estimators |
| BootstrapR2 | R2 confidence intervals by bootstrap resampling |
| BootstrapRep | Bootstrap analysis via resampling |
| BootstrapStat | Non-Parametric population samples and statistic comparison |
| CalcAVG | Calculates mean correlations within- and between-modules |
| CalcEigenVar | Integration measure based on eigenvalue dispersion |
| CalcICV | Calculates the ICV of a covariance matrix. |
| CalcR2 | Mean Squared Correlations |
| CalcR2CvCorrected | Corrected integration value |
| CalcR2CvCorrected.default | Corrected integration value |
| CalcR2CvCorrected.lm | Corrected integration value |
| CalcRepeatability | Parametric per trait repeatabilities |
| CalculateMatrix | Calculate Covariance Matrix from a linear model fitted with lm() |
| ComparisonMap | Generic Comparison Map functions for creating parallel list methods Internal functions for making eficient comparisons. |
| ConditionalEvolvability | Calculate mean values for various matrix statistics |
| Constraints | Calculate mean values for various matrix statistics |
| CreateHypotMatrix | Creates binary correlation matrices |
| DeltaZCorr | Compare matrices via the correlation between response vectors |
| DeltaZCorr.default | Compare matrices via the correlation between response vectors |
| DeltaZCorr.list | Compare matrices via the correlation between response vectors |
| dentus | Example multivariate data set |
| dentus.tree | Tree for dentus example species |
| DriftTest | Test drift hypothesis |
| EigenTensorDecomposition | Eigentensor Decomposition |
| EigenTensorDecomposition.default | Eigentensor Decomposition |
| EigenTensorDecomposition.list | Eigentensor Decomposition |
| evolqg | EvolQG |
| Evolvability | Calculate mean values for various matrix statistics |
| ExtendMatrix | Control Inverse matrix noise with Extension |
| Flexibility | Calculate mean values for various matrix statistics |
| JackKnifeMINT | Modularity and integration analysis tool |
| KrzCor | Compare matrices via Krzanowski Correlation |
| KrzCor.default | Compare matrices via Krzanowski Correlation |
| KrzCor.list | Compare matrices via Krzanowski Correlation |
| KrzCor.mcmc_sample | Compare matrices via Krzanowski Correlation |
| KrzProjection | Compare matrices via Modified Krzanowski Correlation |
| KrzProjection.default | Compare matrices via Modified Krzanowski Correlation |
| KrzProjection.list | Compare matrices via Modified Krzanowski Correlation |
| KrzSubspace | Krzanowski common subspaces analysis |
| LModularity | L Modularity |
| MantelCor | Compare matrices via Mantel Correlation |
| MantelCor.default | Compare matrices via Mantel Correlation |
| MantelCor.list | Compare matrices via Mantel Correlation |
| MantelCor.mcmc_sample | Compare matrices via Mantel Correlation |
| MantelModTest | Test single modularity hypothesis using Mantel correlation |
| MantelModTest.default | Test single modularity hypothesis using Mantel correlation |
| MantelModTest.list | Test single modularity hypothesis using Mantel correlation |
| MatrixCompare | Matrix Compare |
| MatrixCor | Compare matrices via Mantel Correlation |
| MatrixCor.default | Compare matrices via Mantel Correlation |
| MatrixCor.list | Compare matrices via Mantel Correlation |
| MatrixCor.mcmc_sample | Compare matrices via Mantel Correlation |
| MatrixDistance | Matrix distance |
| MatrixDistance.default | Matrix distance |
| MatrixDistance.list | Matrix distance |
| MeanMatrix | Mean Covariance Matrix |
| MeanMatrixStatistics | Calculate mean values for various matrix statistics |
| MINT | Modularity and integration analysis tool |
| MonteCarloR2 | R2 confidence intervals by parametric sampling |
| MonteCarloRep | Parametric repeatabilities with covariance or correlation matrices |
| MonteCarloStat | Parametric population samples with covariance or correlation matrices |
| MultiMahalanobis | Calculate Mahalonabis distance for many vectors |
| MultivDriftTest | Multivariate genetic drift test for 2 populations |
| Norm | Normalize and Norm |
| Normalize | Normalize and Norm |
| OverlapDist | Distribution overlap distance |
| Partition2HypotMatrix | Create binary hypothesis |
| Pc1Percent | Calculate mean values for various matrix statistics |
| PCAsimilarity | Compare matrices using PCA similarity factor |
| PCAsimilarity.default | Compare matrices using PCA similarity factor |
| PCAsimilarity.list | Compare matrices using PCA similarity factor |
| PCAsimilarity.mcmc_sample | Compare matrices using PCA similarity factor |
| PCScoreCorrelation | PC Score Correlation Test |
| PhyloCompare | Compares sister groups |
| PhyloMantel | Mantel test with phylogenetic permutations |
| PhyloW | Calculates ancestral states of some statistic |
| plot.SRD | Compare matrices via Selection Response Decomposition |
| PlotRarefaction | Plot Rarefaction analysis |
| PlotRSprojection | Random Skewers projection |
| PlotTreeDriftTest | Plot results from TreeDriftTest |
| PrintMatrix | Print Matrix to file |
| PrintMatrix.default | Print Matrix to file |
| PrintMatrix.list | Print Matrix to file |
| ProjectMatrix | Project Covariance Matrix |
| RandCorr | Random correlation matrix |
| RandomMatrix | Random matrices for tests |
| RandomSkewers | Compare matrices via RandomSkewers |
| RandomSkewers.default | Compare matrices via RandomSkewers |
| RandomSkewers.list | Compare matrices via RandomSkewers |
| RandomSkewers.mcmc_sample | Compare matrices via RandomSkewers |
| Rarefaction | Rarefaction analysis via resampling |
| RarefactionStat | Non-Parametric rarefacted population samples and statistic comparison |
| ratones | Linear distances for five mouse lines |
| RelativeEigenanalysis | Relative Eigenanalysis |
| RemoveSize | Remove Size Variation |
| Respondability | Calculate mean values for various matrix statistics |
| RevertMatrix | Revert Matrix |
| RiemannDist | Matrix Riemann distance |
| RSProjection | Random Skewers projection |
| SingleComparisonMap | Generic Single Comparison Map functions for creating parallel list methods Internal functions for making efficient comparisons. |
| SRD | Compare matrices via Selection Response Decomposition |
| SRD.default | Compare matrices via Selection Response Decomposition |
| SRD.list | Compare matrices via Selection Response Decomposition |
| TestModularity | Test modularity hypothesis |
| TreeDriftTest | Drift test along phylogeny |