Man pages for equSA
Learning High-Dimensional Graphical Models
| alarm | One example dataset for p-plearning algorithm. |
| combineR | Combine two networks. |
| Cont2Gaus | A transfomation from count data into Gaussian data |
| ContSim | A simulation method for generating count data from... |
| ContTran | A data continuized transformation |
| count | An example of count dataset for constructing network |
| DAGsim | Simulate a directed acyclic graph with mixed data (gaussian... |
| diffR | Detect difference between two networks. |
| equSA-package | Graphical model has been widely used in many scientific... |
| equSAR | An equvalent mearsure of partial correlation coeffients |
| GauSim | Simulate centered Gaussian data from multiple types of... |
| GGMM | Learning high-dimensional Gaussian Graphical Models with... |
| GraphIRO | Learning high-dimensional Gaussian Graphical Models with... |
| JGGM | Joint estimation of Multiple Gaussian Graphical Models |
| JMGM | Joint Mixed Graphical Models |
| MNR | Markov Neighborhood Regression for High-Dimensional... |
| Mulpval | Multiple hypothesis tests for p values |
| pcorselR | Multiple hypothesis test |
| plearn.moral | Learning Moral graph based on p-learning algorithm. |
| plearn.struct | Infer network structure for mixed types of random variables. |
| plotGraph | Plot Single Network |
| plotJGraph | Plot Networks |
| psical | A calculation of psi scores. |
| SimGraDat | Simulate Incomplete Data for Gaussian Graphical Models |
| SimHetDat | Simulate Heterogeneous Data for Gaussian Graphical Models |
| SimMNR | Simulate Data for high-dimensional inference |
| solcov | Calculate covariance matrix and precision matrix |
| SR0 | One example dataset for psi-learning alogorithm |
| TR0 | One example dataset for psi-learning alogorithm |
