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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.
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Package details |
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| Author | Chenyang Li [aut, cre], Dale Zimmerman [aut, ctb] |
| Maintainer | Chenyang Li <chenyang-li@uiowa.edu> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://tanchyking.github.io/antedep/ https://github.com/TanchyKing/antedep |
| Package repository | View on CRAN |
| Installation |
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