summary.mixed_fit: Summarize fitted ADMG model.

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

Summarize fitted ADMG model.

Description

Produces summary statistics for fit of data to an ADMG model.

Usage

## S3 method for class 'mixed_fit'
summary(object, fisher = TRUE, ...)

Arguments

object	An object of class mixed_fit.
fisher	logical: should Fisher Information Matrix be calculated and standard errors provided?
...	Other arguments to pass to summary.

Value

List containing the output from fitADMG as well as:

p	The number of parameters.
AIC	Akaike Information Criterion of model fit.
BIC	Bayesian Information Criterion of model fit.
deviance	The deviance of the model fit.
n	The dimension of the data.
se.table	A table containing standard errors (if fisher = TRUE).
FIM	The Fisher Information Matrix (if fisher = TRUE).
probs	Best fitting probability distribution.

Author(s)

Robin Evans

References

Evans, R.J. and Richardson, T.S. (2010) - Fitting acyclic directed mixed graphs to binary data. UAI-10.

See Also

fitADMG.

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