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| avgp | Average Periodogram for Multiple (Genetic) Time Series |
| bagged.cor | Bagged Versions of Covariance and (Partial) Correlation Matrix |
| bagged.cov | Bagged Versions of Covariance and (Partial) Correlation Matrix |
| bagged.pcor | Bagged Versions of Covariance and (Partial) Correlation Matrix |
| caulobacter | Microarray Time Series Data for 1444 Caulobacter Crescentus Genes |
| cor.fit.mixture | Graphical Gaussian Models: Fit Mixture Distribution to Sample Correlation Coefficients |
| cor.prob.nonzero | Graphical Gaussian Models: Fit Mixture Distribution to Sample Correlation Coefficients |
| cor0.estimate.kappa | Estimating the Degree of Freedom of the Null Distribution of the Correlation Coefficient |
| cor0.test | Test of Vanishing (Partial) Correlation |
| cor2pcor | Partial Correlation from Correlation Matrix (and Vice Versa) |
| dcor0 | Distribution of the Vanishing Correlation Coefficient (rho=0) and Related Functions |
| dominant.freqs | Dominant Frequencies in Multiple (Genetic) Time Series |
| fast.svd | Efficient Computation of the Singular Value Decomposition for Fat and Thin Matrices |
| fdr.control | Controlling the False Discovery Rate in Multiple Testing |
| fdr.estimate.eta0 | Estimate the Proportion of Null p-Values |
| fisher.g.test | Fisher's Exact g Test for Multiple (Genetic) Time Series |
| ggm.estimate.pcor | Graphical Gaussian Models: Small Sample Estimation of Partial Correlation |
| ggm.make.graph | Graphical Gaussian Models: Plotting the Network |
| ggm.plot.graph | Graphical Gaussian Models: Plotting the Network |
| ggm.simulate.data | Graphical Gaussian Models: Simulation of of Data |
| ggm.simulate.pcor | Graphical Gaussian Models: Simulation of Networks |
| ggm.test.edges | Graphical Gaussian Models: Testing Edges |
| hotelling.transform | Variance-Stabilizing Transformations of the Correlation Coefficient |
| ibeta | Distribution of the Vanishing Correlation Coefficient (rho=0) and Related Functions |
| is.constant | Simple Check for Constant Time Series |
| is.positive.definite | Various Matrix Utilities |
| is.square | Various Matrix Utilities |
| is.symmetric | Various Matrix Utilities |
| kappa2N | Determine the Sample Size from the Degree of Freedom of Correlation Distribution |
| make.positive.definite | Various Matrix Utilities |
| N2kappa | Determine the Sample Size from the Degree of Freedom of Correlation Distribution |
| partial.cor | Partial Correlation from Correlation Matrix (and Vice Versa) |
| pcor0 | Distribution of the Vanishing Correlation Coefficient (rho=0) and Related Functions |
| pcor2cor | Partial Correlation from Correlation Matrix (and Vice Versa) |
| periodogram | Periodogram Power Spectral Density |
| pseudoinverse | Pseudoinverse of a Matrix |
| rank.condition | Various Matrix Utilities |
| rcor0 | Distribution of the Vanishing Correlation Coefficient (rho=0) and Related Functions |
| rebuild.cov | Rebuild Covariance Matrix from Correlation Matrix |
| robust.boot | Robust Error Resistant Bootstrap Algorithm |
| show.edge.weights | Graphical Gaussian Models: Plotting the Network |
| sm.indexes | Convert Symmetric Matrix to Vector and Back |
| sm2vec | Convert Symmetric Matrix to Vector and Back |
| vec2sm | Convert Symmetric Matrix to Vector and Back |
| z.transform | Variance-Stabilizing Transformations of the Correlation Coefficient |