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gRim
R package for gRaphical independence models
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0.3.4
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Install
install.packages('gRim')
Monthly Downloads
672
Version
0.3.4
License
GPL (>= 2)
Maintainer
Søren Højsgaard
Last Published
October 15th, 2024
Functions in gRim (0.3.4)
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imodel-info
Get information about mixed interaction model objects
parm-conversion
Conversion between different parametrizations of mixed models
modify_glist
Modify generating class for a graphical/hierarchical model
loglin-effloglin
Fitting Log-Linear Models by Message Passing
imodel-dmod
Discrete interaction model (log-linear model)
internal
Internal functions for the gRim package
impose_zero
Impose zeros in matrix entries which do not correspond to an edge.
ggmfit
Iterative proportional fitting of graphical Gaussian model
utilities_grips
Utilities for gRips
imodel-mmod
Mixed interaction model.
stepwise
Stepwise model selection in (graphical) interaction models
generate_n01
Genrate matrix of N(0, 1) variables
test-edges
Test edges in graphical models with p-value/AIC value
loglin-dim
Return the dimension of a log-linear model
getEdges
Find edges in a graph or edges not in an undirected graph.
parse_gm_formula
Parse graphical model formula
testadd
Test addition of edge to graphical model
testdelete
Test deletion of edge from an interaction model
coerce_models
Coerce models to different representations
fast_cov
Fast computation of covariance / correlation matrix
cmod
Graphical Gaussian model
citest-generic
Generic function for conditional independence test
cg-stats
Mean, covariance and counts for grouped data (statistics for conditional Gaussian distribution).
emat_operations
Edge matrix operations
generate_models
Generate various grapical models
fit_ggm_grips
Fit Gaussian graphical models
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-array
Test for conditional independence in a contingency table
imodel-general
General functions related to iModels