Antedependence Models for Longitudinal Data R package antedep version 0.1.0 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. Software Depends: R (>= 3.5) Imports: nloptr (>= 1.2.0), stats, ggplot2, MASS Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Chenyang Li <chenyang-li@uiowa.edu> Comprehensive R Archive Network (CRAN) Chenyang Li [aut, cre], Dale Zimmerman [aut, ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=antedep/LICENSE) 2026-04-24 application/tgz https://CRAN.R-project.org/package=antedep doi:10.32614/CRAN.package.antedep en-US