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gRim
R package for gRaphical independence models
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Install
install.packages('gRim')
Monthly Downloads
672
Version
0.2.1
License
GPL (>= 2)
Maintainer
Søren Højsgaard
Last Published
February 21st, 2020
Functions in gRim (0.2.1)
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citest-generic
Generic function for conditional independence test
gRim-internal
Internal functions in the gRim package
imodel-general
General functions related to iModels
citest-ordinal
A function to compute Monte Carlo and asymptotic tests of conditional independence for ordinal and/or nominal variables.
dim-loglin
Return the dimension of a log-linear model
citest-df
Test for conditional independence in a dataframe
cmod
Graphical Gaussian model
parse_gm_formula
Parse graphical model formula
getEdges
Find edges in a graph and edges not in an undirected graph.
dmod
Discrete interaction model (log-linear model)
stepwise
Stepwise model selection in (graphical) interaction models
cg-stats
Mean, covariance and counts for grouped data (statistics for conditional Gaussian distribution).
citest-array
Test for conditional independence in a contingency table
internal
Internal functions for the gRim package
loglin-effloglin
Fitting Log-Linear Models by Message Passing
citest-mvn
Test for conditional independence in the multivariate normal distribution
modify_glist
Modify generating class for a graphical/hierarchical model
mmod
Mixed interaction model.
test-edges
Test edges in graphical models with p-value/AIC value
parm-conversion
Conversion between different parametrizations of mixed models
testdelete
Test deletion of edge from an interaction model
ggmfit
Iterative proportional fitting of graphical Gaussian model
testadd
Test addition of edge to graphical model