Fitting GLMs with Missing Data in Both Responses and Covariates

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Documentation for package ‘glmfitmiss’ version 2.1.0

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glmFitMiss-package glmfitmiss: Fitting Binary Regression Models with Missing Data
glmfitmiss-package glmfitmiss: Fitting Binary Regression Models with Missing Data
emBinRegMAR Fitting binary regression with missing categorical covariates using Expectation-Maximisation (EM) based method
emBinRegMixedMAR Fits binary regression models with both nonignorable missing responses and missing categorical covariates.
emBinRegNonIG Fitting binary regression with missing responses that are nonignorable based on Ibrahim and Lipsitz (1996)
emforbeta Fitting binary regression with missing categorical covariates using likelihood based method
emil Fitting binary regression model with missing responses based on Ibrahim and Lipsitz (1996)
emyxmiss Fitting generalized linear models with Incomplete data
est EST data - Eastern Cooperative Oncology Group clinical trials, EST 2282
est45 EST data - Eastern Cooperative Oncology Group clinical trials, EST 2282
felinedata felinedata - Chlamydial Infection in Cats
glmfitmiss glmfitmiss: Fitting Binary Regression Models with Missing Data
ibrahim ibrahim data - Ibrahim (1990) JASA
incontinence incontinence- incontinence Data taken from brlrmr pacakge
llkmiss Fitting binary regression with missing categorical covariates using new likelihood based method that does not require EM algorithm
logRegMAR Fitting binary regression with missing categorical covariates using new likelihood based method
meningitis meningitis- Meningococcal Disease Data with missing data in the response variable
meningitis60ymis meningitis60ymis- Meningococcal Disease Data with missing data in the response variable
metastmelanoma metastmelanoma - metastatic melanoma trial data
simulateCovariateData Simulate data with independent categorical covariates
simulateData Simulate data based on an input covariate data
simulateMissDfYorX Simulate missing covariate or missing responses data based on an input covariate data
sixcitydata sixcitydata - A very well published Six city data published in many articles including Ware et al (1984), Ibrahim and Lipsitz (1996). Also avaialble in LogXact User Manual. The dataset is a longitudinal study of the health effects of air pollution (ware et al., 1984).
testyxm Simulated Test Data - 'testyxm'