|
Function that gives the maximum likelihood estimate of the covariance matrix.
● Data Source:
CranContrib
● Keywords:
● Alias: covML
●
0 images
|
|
Construct a target matrix by combining topology information from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database and pilot data.
● Data Source:
CranContrib
● Keywords:
● Alias: kegg.target
●
0 images
|
|
Function that visualizes a (precision) matrix as a heatmap. May be used to assess visually the elements of a single (possibly sparsified precision) matrix. May also be used in assessing the performance of edge selection techniques.
● Data Source:
CranContrib
● Keywords:
● Alias: edgeHeat
●
0 images
|
Function that selects the optimal penalty parameter for the ridgeP call by usage of leave-one-out cross-validation. Its output includes (a.o.) the precision matrix under the optimal value of the penalty parameter.
● Data Source:
CranContrib
● Keywords:
● Alias: optPenalty.LOOCV
●
0 images
|
|
Function for testing the null hypothesis that all population precision matrices are equal and thus the necessity for the fusion penalty. Note, the test performed is conditional on the supplied penalties and targets.
● Data Source:
CranContrib
● Keywords:
● Alias: fused.test
●
0 images
|
|
Simulate data from a p-dimensional (zero-mean) gaussian graphical model (GGM) with a specified (or random) topology and return the sample covariance matrix or matrices. Can also return the original simulated data.
● Data Source:
CranContrib
● Keywords:
● Alias: createS
●
0 images
|
A simple wrapper for GGMpathStats.
● Data Source:
CranContrib
● Keywords:
● Alias: GGMpathStats.fused
●
0 images
|
|
Function that calculates, for a specified node pair representing endpoints, path statistics from a sparse precision matrix. The sparse precision matrix is taken to represent the conditional independence graph of a Gaussian graphical model. The contribution to the observed covariance between the specified endpoints is calculated for each (heuristically) determined path between the endpoints.
● Data Source:
CranContrib
● Keywords:
● Alias: GGMpathStats
●
0 images
|
|
Function that visualizes the sparsified precision matrix as an undirected graph.
● Data Source:
CranContrib
● Keywords:
● Alias: Ugraph
●
0 images
|
|
Function that calculates various network statistics from a sparse precision matrix. The sparse precision matrix is taken to represent the conditional indepence graph of a Gaussian graphical model.
● Data Source:
CranContrib
● Keywords:
● Alias: GGMnetworkStats
●
0 images
|
providing 
.