simulated.data

<p>A dataset containing the 100 observations and 4 covariates. The covariates are
generated from standard normal distribution. The missing binary response is
generated using the simulation process as described in the reference.</p>

datasets

Provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068> to estimate the parameters of a logistic regression model with the missing response when the missing data mechanism is nonignorable. The fil() function implements the algorithm proposed by Maity et. al. (2017+) <https://github.com/arnabkrmaity/brlrmr> to reduce the bias produced by the method of Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068>.

Arnab Maity

brlrmr

Bias Reduction with Missing Binary Response

Vivek Pradhan

Ujjwal Das

simulated.data function

<p>A data frame with 100 observations with 28 missing responses:</p>

simulated.data: We simulate this data for the purpose of illustration of the package

Description

Usage

Arguments

Format