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antedep  

Antedependence Models for Longitudinal Data
View on CRAN: Click here


Download and install antedep package within the R console
Install from CRAN:
install.packages("antedep")

Install from Github:
library("remotes")
install_github("cran/antedep")

Install by package version:
library("remotes")
install_version("antedep", "0.2.0")



Attach the package and use:
library("antedep")
Maintained by
Chenyang Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-24
Latest Update: 2026-04-24
Description:
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.
How to cite:
Chenyang Li (2026). antedep: Antedependence Models for Longitudinal Data. R package version 0.2.0, https://cran.r-project.org/web/packages/antedep. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:18), 0.1.0 (2026-04-24 20:30)
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Complete documentation for antedep
Functions, R codes and Examples using the antedep R package
Full antedep package functions and examples
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