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wgeesel (version 1.5)

Weighted Generalized Estimating Equations and Model Selection

Description

Weighted generalized estimating equations (WGEE) is an extension of generalized linear models to longitudinal clustered data by incorporating the correlation within-cluster when data is missing at random (MAR). The parameters in mean, scale correlation structures are estimated based on quasi-likelihood. Multiple model selection criterion are provided for selection of mean model and working correlation structure based on WGEE/GEE.

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Version

Install

install.packages('wgeesel')

Monthly Downloads

19

Version

1.5

License

GPL-2

Maintainer

Zheng Li

Last Published

March 9th, 2018

Functions in wgeesel (1.5)

data_sim

Simulate longitudinal data
imps

Inpatient Multidimensional Psychiatric Scale (IMPS)
wgeesel-package

Weighted Generalized Estimating Equations and Model Selection
MLIC.gee

MLIC and MLICC for Weighted GEE
ylag

Generate subject-level lagged response
MQIC.gee

MQIC and MQICu for GEE
QIC.gee

QIC and QICu for GEE
ohio

Ohio Children Wheeze Status
QICW.gee

QICWr and QICWp for WGEE
seizure

Epiliptic Seizures
RJ.gee

RJC for GEE
RJ2.gee

Corrected RJC for GEE
WRsquare.gee

Weighted R Square for WGEE
wgee

Fit Weighted Generalized Estimating Equations (WGEE)
wgeesel-internal

Internal wgeesel Functions
drgee

Fit Doubly Robust Weighted Generalized Estimating Equations