pclm.core: Fit the penalized composite link model (PCLM)

In MaciejDanko/pclmpash:

Description

Efficient estimation of smooth distribution from coarsely grouped data based on PCLM algorithm described in Rizzi et al. 2015. For further description see the reference [1] and pclm.fit.

The internal function.

Usage

pclm.core(CompositionMatrix, lambda = 1, control = list())

Arguments

CompositionMatrix	Object constructed by pclm.compmat.
lambda	Smoothing parameter.
control	List with additional parameters. See pclm.control.

Value

List with components:

gamma	Ungrouped counts.
dev	Deviance.
aic	AIC for the fitted model.
bic	BIC for the fitted model.
warn.list	List with warnings.

Author(s)

Silvia Rizzi (original code, see Appendix #2 of the reference [1]), Maciej J. Danko (modification) <[e-mail]> <[e-mail]>

References

1. Rizzi S, Gampe J, Eilers PHC. Efficient estimation of smooth distributions from coarsely grouped data. Am J Epidemiol. 2015;182:138?47.

MaciejDanko/pclmpash documentation built on May 14, 2019, 7:41 a.m.