# Graphical Interaction Models

## Documentation for package ‘gRim’ version 0.2.10

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

%>% | 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)