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ELCIC
View on CRAN: Click
here
Download and install ELCIC package within the R console
Install from CRAN:
install.packages("ELCIC")
Install from Github:
library("remotes")
install_github("cran/ELCIC")
Install by package version:
library("remotes")
install_version("ELCIC", "0.2.1")
Attach the package and use:
library("ELCIC")
Maintained by
Chixiang Chen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2022-02-14
Latest Update: 2023-02-13
Description:
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) .
How to cite:
Chixiang Chen (2022). ELCIC: The Empirical Likelihood-Based Consistent Information Criterion. R package version 0.2.1, https://cran.r-project.org/web/packages/ELCIC. Accessed 28 Mar. 2025.
Other packages that cited ELCIC R package
View ELCIC citation profile
Other R packages that ELCIC depends,
imports, suggests or enhances
Functions, R codes and Examples using
the ELCIC R package
Some associated functions: ELCIC.gee . ELCIC.gee.single . ELCIC.glm . ELCIC.glm.single . ELCIC.wgee . ELCIC.wgee.single . MLIC.wgee . QICW.wgee . QICc.gee . cond.prob . ee.gee.mean . ee.gee . ee.glm . ee.wgee.mean . ee.wgee . gee.generator . geesimdata . glm.generator . glmsimdata . impsdata . lambda.find.gee.mean . lambda.find.gee . lambda.find.glm . lambda.find.wgee.mean . lambda.find.wgee . marg.prob . respiratorydata . wgeesimdata .
Some associated R codes: data_geesimdata.R . data_glmsimdata.R . data_impsapplication.R . data_respiratoryapplication.R . data_wgeesimdata.R . estimating_equations.R . lambda.R . model_selection.R . supporting_functions.R . Full ELCIC package functions and examples
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