| cg-stats | Mean, covariance and counts for grouped data (statistics for... |
| citest-array | Test for conditional independence in a contingency table |
| citest-df | Test for conditional independence in a dataframe |
| citest-generic | Generic function for conditional independence test |
| citest-mvn | Test for conditional independence in the multivariate normal... |
| citest-ordinal | A function to compute Monte Carlo and asymptotic tests of... |
| cmod | Graphical Gaussian model |
| coerce_models | Coerce models to different representations |
| emat_operations | Edge matrix operations |
| fast_cov | Fast computation of covariance / correlation matrix |
| fit_ggm_grips | Fit Gaussian graphical models |
| generate_models | Generate various grapical models |
| generate_n01 | Genrate matrix of N(0, 1) variables |
| getEdges | Find edges in a graph or edges not in an undirected graph. |
| ggmfit | Iterative proportional fitting of graphical Gaussian model |
| imodel-dmod | Discrete interaction model (log-linear model) |
| imodel-general | General functions related to iModels |
| imodel-info | Get information about mixed interaction model objects |
| imodel-mmod | Mixed interaction model. |
| impose_zero | Impose zeros in matrix entries which do not correspond to an... |
| internal | Internal functions for the gRim package |
| loglin-dim | Return the dimension of a log-linear model |
| loglin-effloglin | Fitting Log-Linear Models by Message Passing |
| modify_glist | Modify generating class for a graphical/hierarchical model |
| parm-conversion | Conversion between different parametrizations of mixed models |
| parse_gm_formula | Parse graphical model formula |
| stepwise | Stepwise model selection in (graphical) interaction models |
| testadd | Test addition of edge to graphical model |
| testdelete | Test deletion of edge from an interaction model |
| test-edges | Test edges in graphical models with p-value/AIC value |
| utilities_grips | Utilities for gRips |
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