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gRim
R package for gRaphical independence models
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Install
install.packages('gRim')
Monthly Downloads
664
Version
0.2.5
License
GPL (>= 2)
Maintainer
Søren Højsgaard
Last Published
July 29th, 2020
Functions in gRim (0.2.5)
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getEdges
Find edges in a graph or edges not in an undirected graph.
cmod
Graphical Gaussian model
cg-stats
Mean, covariance and counts for grouped data (statistics for conditional Gaussian distribution).
citest-df
Test for conditional independence in a dataframe
citest-mvn
Test for conditional independence in the multivariate normal distribution
citest-generic
Generic function for conditional independence test
parse_gm_formula
Parse graphical model formula
ggmfit
Iterative proportional fitting of graphical Gaussian model
internal
Internal functions for the gRim package
citest-array
Test for conditional independence in a contingency table
imodel-mmod
Mixed interaction model.
parm-conversion
Conversion between different parametrizations of mixed models
imodel-dmod
Discrete interaction model (log-linear model)
loglin-dim
Return the dimension of a log-linear model
loglin-effloglin
Fitting Log-Linear Models by Message Passing
modify_glist
Modify generating class for a graphical/hierarchical model
stepwise
Stepwise model selection in (graphical) interaction models
testdelete
Test deletion of edge from an interaction model
test-edges
Test edges in graphical models with p-value/AIC value
imodel-general
General functions related to iModels
testadd
Test addition of edge to graphical model
citest-ordinal
A function to compute Monte Carlo and asymptotic tests of conditional independence for ordinal and/or nominal variables.
gRim-internal
Internal functions in the gRim package