| %>% | Internal functions for the gRim package |
| backward | Stepwise model selection in (graphical) interaction models |
| cg-stats | Mean, covariance and counts for grouped data (statistics for conditional Gaussian distribution). |
| CGstats | Mean, covariance and counts for grouped data (statistics for conditional Gaussian distribution). |
| CGstats.data.frame | Mean, covariance and counts for grouped data (statistics for conditional Gaussian distribution). |
| ciTest | Generic function for conditional independence test |
| 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 distribution |
| citest-ordinal | A function to compute Monte Carlo and asymptotic tests of conditional independence for ordinal and/or nominal variables. |
| ciTest_df | Test for conditional independence in a dataframe |
| ciTest_mvn | Test for conditional independence in the multivariate normal distribution |
| ciTest_ordinal | A function to compute Monte Carlo and asymptotic tests of conditional independence for ordinal and/or nominal variables. |
| ciTest_table | Test for conditional independence in a contingency table |
| cmod | Graphical Gaussian model |
| coef.mModel | Mixed interaction model. |
| coefficients.mModel | Mixed interaction model. |
| dim_loglin | Return the dimension of a log-linear model |
| dim_loglin_decomp | Return the dimension of a log-linear model |
| dmod | Discrete interaction model (log-linear model) |
| drop_func | Stepwise model selection in (graphical) interaction models |
| effloglin | Fitting Log-Linear Models by Message Passing |
| extractAIC.iModel | General functions related to iModels |
| extract_cmod_data | Graphical Gaussian model |
| fitted.dModel | Discrete interaction model (log-linear model) |
| formula.iModel | General functions related to iModels |
| forward | Stepwise model selection in (graphical) interaction models |
| getEdges | Find edges in a graph or edges not in an undirected graph. |
| getEdges.graphNEL | Find edges in a graph or edges not in an undirected graph. |
| getEdges.list | Find edges in a graph or edges not in an undirected graph. |
| getEdges.matrix | Find edges in a graph or edges not in an undirected graph. |
| getEdgesMAT | Find edges in a graph or edges not in an undirected graph. |
| getInEdges | Find edges in a graph or edges not in an undirected graph. |
| getInEdgesMAT | Find edges in a graph or edges not in an undirected graph. |
| getmi | Get information about mixed interaction model objects |
| getOutEdges | Find edges in a graph or edges not in an undirected graph. |
| getOutEdgesMAT | Find edges in a graph or edges not in an undirected graph. |
| ggmfit | Iterative proportional fitting of graphical Gaussian model |
| ggmfitr | 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. |
| internal | Internal functions for the gRim package |
| isDecomposable.dModel | General functions related to iModels |
| isGraphical.dModel | General functions related to iModels |
| logLik.iModel | General functions related to iModels |
| loglin-dim | Return the dimension of a log-linear model |
| loglin-effloglin | Fitting Log-Linear Models by Message Passing |
| mmod | Mixed interaction model. |
| mmod_dimension | Mixed interaction model. |
| modelProperties | General functions related to iModels |
| modelProperties.dModel | General functions related to iModels |
| modify_glist | Modify generating class for a graphical/hierarchical model |
| parm-conversion | Conversion between different parametrizations of mixed models |
| parm_CGstats2mmod | Conversion between different parametrizations of mixed models |
| parm_ghk2phk | Conversion between different parametrizations of mixed models |
| parm_ghk2pms | Conversion between different parametrizations of mixed models |
| parm_moment2pms | Conversion between different parametrizations of mixed models |
| parm_phk2ghk | Conversion between different parametrizations of mixed models |
| parm_phk2pms | Conversion between different parametrizations of mixed models |
| parm_pms2ghk | Conversion between different parametrizations of mixed models |
| parm_pms2phk | Conversion between different parametrizations of mixed models |
| parse_gm_formula | Parse graphical model formula |
| print.dModel | Discrete interaction model (log-linear model) |
| print.iModelsummary | General functions related to iModels |
| print.mModel | Mixed interaction model. |
| print.testadd | Test addition of edge to graphical model |
| print.testdelete | Test deletion of edge from an interaction model |
| residuals.dModel | Discrete interaction model (log-linear model) |
| stepwise | Stepwise model selection in (graphical) interaction models |
| stepwise.iModel | Stepwise model selection in (graphical) interaction models |
| summary.iModel | General functions related to iModels |
| summary.mModel | Mixed interaction model. |
| terms.iModel | General functions related to iModels |
| test-edges | Test edges in graphical models with p-value/AIC value |
| testadd | Test addition of edge to graphical model |
| testadd.iModel | Test addition of edge to graphical model |
| testadd.mModel | Test addition of edge to graphical model |
| testdelete | Test deletion of edge from an interaction model |
| testdelete.iModel | Test deletion of edge from an interaction model |
| testdelete.mModel | Test deletion of edge from an interaction model |
| testEdges | Test edges in graphical models with p-value/AIC value |
| testInEdges | Test edges in graphical models with p-value/AIC value |
| testOutEdges | Test edges in graphical models with p-value/AIC value |
| triangulate.dModel | Discrete interaction model (log-linear model) |