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
SystemRequirements: JAGS (>= 4.x)
URL: https://github.com/alexangelakis-ang/sparsesurv
BugReports: https://github.com/alexangelakis-ang/sparsesurv/issues
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2026-10-12 10:36:32 UTC; root
Author: Alexandros Angelakis [aut, cre], Bryan Nyawanda [aut], Penelope
        Vounatsou [aut]
Maintainer: Alexandros Angelakis <alexandros.angelakis@swisstph.ch>
Config/pak/sysreqs: jags
Repository: https://cran.r-universe.dev
Date/Publication: 2025-09-09 14:10:02 UTC
RemoteUrl: https://github.com/cran/sparsesurv
RemoteRef: HEAD
RemoteSha: 42248f58b911b7452c6ad0b5148d2d363212f4a4