chiquadrat/ICD: Statistical Methods for Interval-Censored Data

Functions that provide statistical methods for interval-censored (grouped) data. The package supports the estimation of linear and linear mixed regression models with interval-censored dependent variables. Parameter estimates are obtained by a stochastic expectation maximization algorithm. Furthermore, the package enables the direct (without covariates) estimation of statistical indicators from interval-censored data via an iterative kernel density algorithm. Survey and Organisation for Economic Co-operation and Development (OECD) weights can be included into the direct estimation (see, Walter, P. (2019) <doi:10.17169/refubium-1621>).

Getting started

Package details

AuthorPaul Walter
MaintainerPaul Walter <paul.w@gmx.net>
LicenseGPL-2
Version1.1.5
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("chiquadrat/ICD")
chiquadrat/ICD documentation built on June 11, 2024, 7:21 a.m.