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gRim
R package for gRaphical independence models
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Install
install.packages('gRim')
Monthly Downloads
664
Version
0.2-0
License
GPL (>= 2)
Maintainer
Søren Højsgaard
Last Published
March 31st, 2017
Functions in gRim (0.2-0)
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cmod
Graphical Gaussian model
ciTest-array
Test for conditional independence in a contingency table
dModel-class
Class
"dModel"
dmod
Log--linear model
CGstats
Mean, covariance and counts for grouped data
ciTest_ordinal
A function to compute Monte Carlo and asymptotic tests of conditional independence for ordinal and/or nominal variables.
ciTest_mvn
Test for conditional independence in the multivariate normal distribution
ciTest-general
Generic function for conditional independence test
ciTest_df
Test for conditional independence in a dataframe
effloglin
Fitting Log-Linear Models by Message Passing
stepwise
Stepwise model selection in (graphical) interaction models
iModel-general
General functions related to iModels
testInEdges; testOutEdges
Test edges in graphical models with p-value/AIC value
loglinDim
Return the dimension of a log-linear model
mmod
Mixed interaction model.
ggmfit
Iterative proportional fitting of graphical Gaussian model
modify_glist
Modify generating class for a graphical/hierarchical model
getEdges
Find edges in a graph and edges not in an undirected graph.
gRim-internal
Internal functions in the gRim package
ghk2phkParms
Conversion between different parametrizations of mixed interaction models.
testdelete
Test deletion of edge from an interaction model
testadd
Test addition of edge to graphical model