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| as.longitudinal | Data Structure for Longitudinal Data |
| avgp | Average Periodogram for Multiple (Genetic) Time Series |
| caulobacter | Microarray Time Series Data for 1444 Caulobacter Crescentus Genes |
| combine.longitudinal | Utility Functions for the "Longitudinal" Data Structure |
| condense.longitudinal | Utility Functions for the "Longitudinal" Data Structure |
| cor.fit.mixture | 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 |
| 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 |
| g.statistic | Robust g Test for Multiple (Genetic) Time Series |
| get.time.repeats | Utility Functions for the "Longitudinal" Data Structure |
| 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 Data |
| ggm.simulate.pcor | Graphical Gaussian Models: Simulation of Networks |
| ggm.test.edges | Graphical Gaussian Models: Testing Edges |
| has.repeated.measurements | Utility Functions for the "Longitudinal" Data Structure |
| 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.equally.spaced | Utility Functions for the "Longitudinal" Data Structure |
| is.longitudinal | Data Structure for Longitudinal Data |
| is.regularily.sampled | Utility Functions for the "Longitudinal" Data Structure |
| 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 |
| n2kappa | Relationship Between Sample Size and the Degree of Freedom of Correlation Distribution |
| pcor0 | Distribution of the Vanishing Correlation Coefficient (rho=0) and Related Functions |
| periodogram | Periodogram Power Spectral Density |
| plot.longitudinal | Data Structure for Longitudinal Data |
| print.longitudinal | Data Structure for Longitudinal Data |
| rcor0 | Distribution of the Vanishing Correlation Coefficient (rho=0) and Related Functions |
| robust.g.test | Robust g Test for Multiple (Genetic) Time Series |
| robust.spectrum | Robust g Test for Multiple (Genetic) Time Series |
| show.edge.weights | Graphical Gaussian Models: Plotting the Network |
| summary.longitudinal | Data Structure for Longitudinal Data |
| tcell | Microarray Time Series Data for T-Cell Activation |
| tcell.gene.description | Microarray Time Series Data for T-Cell Activation |
| z.transform | Variance-Stabilizing Transformations of the Correlation Coefficient |