antedep: Antedependence Models for Longitudinal Data

Fitting, simulation, and inference for antedependence models for longitudinal data, as described in Zimmerman and Nunez-Anton (2009, ISBN:9781420011074). Supports integer-valued antedependence (INAD) models for count data with thinning operators (binomial, Poisson, negative binomial) and flexible innovation distributions (Poisson, Bell, negative binomial), categorical antedependence models for discrete-state longitudinal outcomes, and Gaussian antedependence (AD) models for continuous data. Implements maximum likelihood estimation via time-separable optimization and block coordinate descent, with confidence intervals based on Louis' identity and profile likelihood.

Version:	0.1.0
Depends:	R (≥ 3.5)
Imports:	nloptr (≥ 1.2.0), stats, ggplot2, MASS
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-04-24
DOI:	10.32614/CRAN.package.antedep
Author:	Chenyang Li [aut, cre], Dale Zimmerman [aut, ctb]
Maintainer:	Chenyang Li <chenyang-li at uiowa.edu>
BugReports:	https://github.com/TanchyKing/antedep/issues
License:	MIT + file LICENSE
URL:	https://tanchyking.github.io/antedep/, https://github.com/TanchyKing/antedep
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	antedep results

Documentation:

Reference manual:	antedep.html , antedep.pdf
Vignettes:	Introduction to antedep (source, R code)

Downloads:

Package source:	antedep_0.1.0.tar.gz
Windows binaries:	r-release: antedep_0.1.0.zip, r-oldrel: antedep_0.1.0.zip
macOS binaries:	r-release (arm64): antedep_0.1.0.tgz, r-oldrel (arm64): antedep_0.1.0.tgz, r-release (x86_64): antedep_0.1.0.tgz, r-oldrel (x86_64): antedep_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=antedep to link to this page.