Graphical Interaction Models

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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)