The Empirical Likelihood-Based Consistent Information Criterion

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Documentation for package ‘ELCIC’ version 0.2.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

cond.prob	Calculate conditional probabilities for observing records at each time point
ee.gee	Estimating equation for GEE without missingness or with data missing completely at random.
ee.gee.mean	Estimating equation of marginal mean for GEE without missingness or missing completely at random
ee.glm	Estimating equation for ELCIC under GLM
ee.wgee	Estimating equation for weighted GEE (WGEE) for missing longitudinal data under the mechanism of missing at random and drop-out
ee.wgee.mean	Estimating equation for marginal mean under WGEE for missing longitudinal data under the mechanism of missing at random and drop-out
ELCIC.gee	The whole procedure for joint selection of mean structure and correlation structure in longitudinal data without missingness or missing completely at random
ELCIC.gee.single	Calculate ELCIC value for a given candidate model under GEE framework with complete longitudinal data or data missing completely at random.
ELCIC.glm	The whole variable selection procedure for mean structure in GLM
ELCIC.glm.single	Variable selection in generalized linear models (GLM)
ELCIC.wgee	The whole procedure for joint selection of mean structure and correlation structure for missing longitudinal data under the mechanism of missing at random and drop-out
ELCIC.wgee.single	Calculate ELCIC value for a given candidate model under WGEE framework for missing longitudinal data under the mechanism of missing at random and drop-out
ELCICgee	Model selection based on ELCIC under the syntax of GEE (Main function).
ELCICglm	Variable selection based on ELCIC under the syntax of GLM (Main function).
ELCICwgee	Model selection based on ELCIC under the syntax of WGEE (Main function).
gee.generator	Generate longitudinal data without missingness
geesimdata	Data simulated for model selection under GEE framework without missingness
glm.generator	Cross-sectional data generation under GLM
glmsimdata	Data simulated for variable selection under GLM framework
impsdata	Inpatient Multidimensional Psychiatric Scale (IMPS)
lambda.find.gee	Calculate the tuning parameters involved in ELCIC under GEE
lambda.find.gee.mean	Calculate the tuning parameters under marginal mean selection in GEE
lambda.find.glm	To calculate tuning parameter involved in ELCIC under GLM
lambda.find.wgee	Calculate the tuning parameters involved in ELCIC under WGEE with data missing at random
lambda.find.wgee.mean	Calculate the tuning parameters involved in marginal mean selection under WGEE with data missing at random
marg.prob	Calculate the inverse of marginal probability for observing records at each time point
MLIC.wgee	The whole MLIC procedure for joint selection of mean structure and correlation structure for missing longitudinal data under the mechanism of missing at random and drop-out
MLICwgee	Model selection based on MLIC under the syntax of WGEE (Main function).
QICc.gee	Joint selection procedure of marginal mean and correlation structures in longitudinal data based on QIC
QICW.wgee	The whole QICW procedure for joint selection of mean structure and correlation structure for missing longitudinal data under the mechanism of missing at random and drop-out
QICWwgee	Model selection based on QICW under the syntax of WGEE (Main function).
respiratorydata	Data from a clinical trial comparing two treatments for a respiratory illness
wgeesimdata	Data simulated for model selection under WGEE framework for missing longitudinal data under the mechanism of missing at random and drop-out.