Package: sparsesurv
Title: Forecasting and Early Outbreak Detection for Sparse Count Data
Version: 0.1.1
Authors@R: c(
    person("Alexandros", "Angelakis",
           email = "alexandros.angelakis@swisstph.ch",
           role = c("aut", "cre")),
           person("Bryan","Nyawanda",role = "aut"),
           person("Penelope","Vounatsou",role = "aut")
           )
Description: Functions for fitting, forecasting, and early detection of
        outbreaks in sparse surveillance count time series. Supports
        negative binomial (NB), self-exciting NB, generalise
        autoregressive moving average (GARMA) NB , zero-inflated NB
        (ZINB), self-exciting ZINB, generalise autoregressive moving
        average ZINB, and hurdle formulations. Climatic and
        environmental covariates can be included in the regression
        component and/or the zero-modified components. Includes
        outbreak-detection algorithms for NB, ZINB, and hurdle models,
        with utilities for prediction and diagnostics.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: R2jags, coda, stats
Suggests: testthat (>= 3.0.0), knitr, rjags, rmarkdown, ggplot2,
        reshape2
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)
SystemRequirements: JAGS (>= 4.x)
URL: https://github.com/alexangelakis-ang/sparsesurv
BugReports: https://github.com/alexangelakis-ang/sparsesurv/issues
RoxygenNote: 7.3.2
Config/pak/sysreqs: jags libicu-dev
Repository: https://alexangelakis-ang.r-universe.dev
Date/Publication: 2025-09-04 08:35:29 UTC
RemoteUrl: https://github.com/alexangelakis-ang/sparsesurv
RemoteRef: HEAD
RemoteSha: 3789f5930acc403c091cccfb33d34518309bd6eb
NeedsCompilation: no
Packaged: 2026-10-08 09:21:57 UTC; root
Author: Alexandros Angelakis [aut, cre],
  Bryan Nyawanda [aut],
  Penelope Vounatsou [aut]
Maintainer: Alexandros Angelakis <alexandros.angelakis@swisstph.ch>