fit-doc: Functions used in connection with fitting of RCOX models

In gRc: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

Functions used in connection with fitting of RCOX models

Description

This is an overview over core functions used in connection with fitting of RCOX models. The functions described here will typically not be directly called by the user.

Arguments

object	An RCOX model object (an object of class rcox.Internal)
K0	An initial value for K
control	A list controlling the fitting algorithms.
maxit	Maximal number of scoring iterations
trace	Controls various diagnostics print outs. A debugging feature not intended for the user.

Value

A list with fitted values (K, logL etc).

Author(s)

Søren Højsgaard, [e-mail]

See Also

fit, rcox

Examples

gm  = ~al:an:st
vcc = list(~me+st, ~ve+an, ~al)
ecc = list(~me:ve+me:al, ~ve:al+al:st)
data(math)

m1 <- rcox(gm=gm, vcc=vcc, ecc=ecc, data=math, fit=FALSE)
f1 <- matching(m1)

## Use f1$K as starting value
scoring(m1, K0=f1$K)
ipm(m1, K0=f1$K)

gRc documentation built on April 30, 2023, 9:09 a.m.