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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | antedep_0.1.0.tar.gz |
888.3 KiB |
0.1.0 |
rolling linux/noble R-4.5 | antedep_0.1.0.tar.gz |
887.8 KiB |
0.1.0 |
rolling source/ R- | antedep_0.1.0.tar.gz |
279.4 KiB |
0.1.0 |
latest linux/jammy R-4.5 | antedep_0.1.0.tar.gz |
888.3 KiB |
0.1.0 |
latest linux/noble R-4.5 | antedep_0.1.0.tar.gz |
887.8 KiB |
0.1.0 |
latest source/ R- | antedep_0.1.0.tar.gz |
279.4 KiB |
0.1.0 |
2026-04-26 source/ R- | antedep_0.1.0.tar.gz |
279.4 KiB |
0.1.0 |
2026-04-23 source/ R- | antedep_0.1.0.tar.gz |
0 B |