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gRim (version 0.1.2)

Graphical Interaction Models

Description

Implements graphical interaction models for contingency tables (i.e. log-linear models) and graphical Gaussian models for the multivariate normal data (i.e. covariance selection models).

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Install

install.packages('gRim')

Monthly Downloads

664

Version

0.1.2

License

GPL (>= 2)

Maintainer

S�ren H�jsgaard

Last Published

September 8th, 2011

Functions in gRim (0.1.2)

mmod

Mixed interaction model.

loglinDim

Return the dimension of a log-linear model

modify_glist

Modify generating class for a graphical/hierarchical model

dModel-class

Class "dModel"

cmod

Graphical Gaussian model

ciTest

Generic function for conditional independence test

gRim-internal

Internal functions in the gRim package

effloglin

Fitting Log-Linear Models by Message Passing

ghk2phkParms

Conversion between different parametrizations of mixed interaction models.

CGstats

Mean, covariance and counts for grouped data

dmod

Log--linear model

stepwise.iModel; backward; forward

Stepwise model selection in (graphical) interaction models

ciTest_table

Test for conditional independence in a contingency table

testInEdges; testOutEdges

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

ciTest_mvn

Test for conditional independence in the multivariate normal distribution

ggmfit

Iterative proportional fitting of graphical Gaussian model

getEdges

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

ciTest_df

Test for conditional independence in a dataframe

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.

testdelete

Test deletion of edge from an interaction model