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 (may not be active yet) |
| 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:
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