| Function | Description |
| avgp | Average Periodogram for Multiple (Genetic) Time Series |
| caulobacter | Microarray Time Series Data for 1444 Caulobacter Crescentus Genes |
| cor0.estimate.kappa | Estimating the Degree of Freedom of the Null Distribution of the Correlation Coefficient |
| cor0.test | Test of Vanishing (Partial) Correlation |
| cor.fit.mixture | Graphical Gaussian Models: Fit Mixture Distribution to Sample Correlation Coefficients |
| dcor0 | Distribution of the Vanishing Correlation Coefficient (rho=0) and Related Functions |
| density.pr | Density Estimation Via Poisson Regression |
| dominant.freqs | Dominant Frequencies in Multiple (Genetic) Time Series |
| ecoli | Microarray Time Series Data for 102 E. Coli Genes Genes |
| 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.plot.graph | Graphical Gaussian Models: Plotting the Network |
| ggm.simulate.data | Graphical Gaussian Models: Simulation of Data |
| ggm.simulate.pcor | Graphical Gaussian Models: Simulation of Networks |
| ggm.test.edges | Graphical Gaussian Models: Testing Edges |
| is.constant | Simple Check for Constant Time Series |
| kappa2n | Relationship Between Sample Size and the Degree of Freedom of Correlation Distribution |
| longitudinal | Data Structure for Longitudinal Data |
| longitudinal.util | Utility Functions for the "Longitudinal" Data Structure |
| periodogram | Periodogram Power Spectral Density |
| robust.g.test | Robust g Test for Multiple (Genetic) Time Series |
| tcell | Microarray Time Series Data for T-Cell Activation |
| z.transform | Variance-Stabilizing Transformations of the Correlation Coefficient |