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gRim (version 0.1-17)

Graphical Interaction Models

Description

gRaphical Interaction Models: Models for for contingency tables (i.e. log-linear models) Graphical Gaussian models for multivariate normal data (i.e. covariance selection models) Mixed interaction models

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Version

Install

install.packages('gRim')

Monthly Downloads

664

Version

0.1-17

License

GPL (>= 2)

Maintainer

Søren Højsgaard

Last Published

August 8th, 2013

Functions in gRim (0.1-17)

ciTest_mvn

Test for conditional independence in the multivariate normal distribution

getEdges

Find edges in a graph and edges not in an undirected graph.

testdelete

Test deletion of edge from an interaction model

mmod

Mixed interaction model.

ggmfit

Iterative proportional fitting of graphical Gaussian model

loglinDim

Return the dimension of a log-linear model

effloglin

Fitting Log-Linear Models by Message Passing

CGstats

Mean, covariance and counts for grouped data

cmod

Graphical Gaussian model

stepwise.iModel; backward; forward

Stepwise model selection in (graphical) interaction models

modify_glist

Modify generating class for a graphical/hierarchical model

ghk2phkParms

Conversion between different parametrizations of mixed interaction models.

dModel-class

Class "dModel"

gRim-internal

Internal functions in the gRim package

dmod

Log--linear model

testadd

Test addition of edge to graphical model

testInEdges; testOutEdges

Test edges in graphical models with p-value/AIC value

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

ciTest_df

Test for conditional independence in a dataframe

ciTest

Generic function for conditional independence test