ELCIC: The Empirical Likelihood-Based Consistent Information Criterion

We developed a consistent and robust information criterion to conduct model selection for semiparametric models. It is free of distribution specification and powerful to locate the true model given large sample size. This package provides several usage of ELCIC with applications in generalized linear model (GLM), generalized estimating equation (GEE) for longitudinal data, and weighted GEE (WGEE) for missing longitudinal data under the mechanism of missing at random and drop-out. Chixaing Chen, Ming Wang, Rongling Wu, Runze Li (2020) <doi:10.5705/ss.202020.0254>.

Package details

AuthorChixiang Chen [cre], Biyi Shen [aut], Ming Wang [aut]
MaintainerChixiang Chen <chencxxy@hotmail.com>
LicenseArtistic-2.0
Version0.2.1
URL https://github.com/chencxxy28/ELCIC
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ELCIC")

Try the ELCIC package in your browser

Any scripts or data that you put into this service are public.

ELCIC documentation built on Feb. 16, 2023, 7:18 p.m.