fitUG: Fit data to an undirected graphical model

In rje42/ADMGs2: Functions for Describing and Fitting Discrete Mixed Graphs

Fit data to an undirected graphical model

Description

Fit discrete data to the Markov structure implied by an undirected graph.

Usage

fitUG(dat, graph, tol = sqrt(.Machine$double.eps), SEs = TRUE, quietly = TRUE)

Arguments

dat	The data, as an array of counts or a data frame whose final column contains the counts.
graph	An ADMG, as an object of class graph.
tol	Numeric; if log-likelihood increases by less that tol in one step, procedure stops.
SEs	logical: should standard errors be calculated?
quietly	Logical indicating whether output should be suppressed.

Value

An object of class u_fit. This is a list containing (amongst other things):

ll	Value of the log-likelihood at the maximum.

Warning

For the algorithm to be guaranteed to work correctly, all counts for marginal tables consisting of cliques and their parents should be positive. A warning will be produced if this is not so.

Author(s)

Robin Evans

References

Lauritzen (1996), Graphical Models, OUP.

rje42/ADMGs2 documentation built on Sept. 3, 2024, 7:39 p.m.