Genetic Time Series and Graphical Models


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Documentation for package `GeneTS' version 2.3

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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