Package: antedep Title: Antedependence Models for Longitudinal Data Version: 0.1.0 Authors@R: c( person("Chenyang", "Li", email = "chenyang-li@uiowa.edu", role = c("aut", "cre")), person("Dale", "Zimmerman", email = "dale-zimmerman@uiowa.edu", role = c("aut", "ctb")) ) Author: Chenyang Li [aut, cre], Dale Zimmerman [aut, ctb] Maintainer: Chenyang Li 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. License: MIT + file LICENSE Encoding: UTF-8 Language: en-US Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 URL: https://tanchyking.github.io/antedep/, https://github.com/TanchyKing/antedep BugReports: https://github.com/TanchyKing/antedep/issues Imports: nloptr (>= 1.2.0), stats, ggplot2, MASS Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Config/testthat/edition: 3 Depends: R (>= 3.5) LazyData: true VignetteBuilder: knitr Config/pak/sysreqs: cmake Repository: https://tanchyking.r-universe.dev Date/Publication: 2026-04-22 16:17:37 UTC RemoteUrl: https://github.com/tanchyking/antedep RemoteRef: HEAD RemoteSha: 355a34576c8e5bf6dce875ea92c774f068fa33f5 NeedsCompilation: no Packaged: 2026-10-22 07:02:20 UTC; root