datasimExt

This data set gives an example data for the illustration of usage of <code><a rd-options="" href="/link/ZIPExt?package=ZIPBayes&version=1.0.2" data-mini-rdoc="ZIPBayes::ZIPExt">ZIPExt</a></code> function. The dataset contains a list of main data and external validation data.

datasets

Implementation of zero-inflated Poisson models under Bayesian framework using data augmentation as discussed in Chapter 5 of Zhang (2020) <https://hdl.handle.net/10012/16378>. This package is constructed in accommodating four different scenarios: the general scenario, the scenario with measurement error in responses, the external validation scenario, and the internal validation scenario.

Qihuang Zhang

ZIPBayes

Bayesian Methods in the Analysis of Zero-Inflated Poisson Model

Grace Y. Yi

datasimExt function

A list of two data.frames. The first data.frame, named ``main'', corresponds to the main data with 6 columns. Same as the <code><a rd-options="" href="/link/datasim?package=ZIPBayes&version=1.0.2" data-mini-rdoc="ZIPBayes::datasim">datasim</a></code>, ``Ystar'' refers to the error-prone response. ``Y'' refers to the true count response. "X1" and "X2" are covariates in the response model. ``Zplus'' and ``Zplus'' are the covariates for the measurement error model. The second data.frame corresponds to the validation data with 5 columns.

Format

This data set gives an example data for the illustration of usage of <code><a rd-options='' href='ZIPExt'>ZIPExt</a></code> function. The dataset contains a list of main data and external validation data.

Toy example data - main study and external validation study — datasimExt

A list of two data.frames. The first data.frame, named ``main'', corresponds to the main data with 6 columns. Same as the <code><a rd-options='' href='datasim'>datasim</a></code>, ``Ystar'' refers to the error-prone response. ``Y'' refers to the true count response. "X1" and "X2" are covariates in the response model. ``Zplus'' and ``Zplus'' are the covariates for the measurement error model. The second data.frame corresponds to the validation data with 5 columns.

datasimExt: Toy example data - main study and external validation study

Description

Usage

Arguments

Format