DESCRIPTION

Package: RtGam
Title: Estimating Rt with Generalized Additive Models
Version: 0.3.1000
Authors@R: c(
    person("Zachary", "Susswein", , "utb2@cdc.gov", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-4329-4833")),
    person("Katelyn", "Gostic", , "uep6@cdc.gov", role = "aut",
           comment = c(ORCID = "0000-0002-9369-6371")),
    person("Sam", "Abbott", , "azw1@cdc.gov", role = "aut",
           comment = c(ORCID = "0000-0001-8057-8037"))
  )
Description: An opinionated implementation of a generalized additive
    modeling (GAMs) approach to estimate epidemic dynamics. This flexible
    semi-parametric method allows fitting to arbitrary incidence
    timeseries, with a natural Bayesian interpretation. Underlying
    inference methods are implemented via the `{mgcv}` package, which is
    optimized to produce quick, robust model fits and has well-developed
    diagnostic methods. These methods are employed here with a focus on
    _real-time_ use cases. The package is meant for drop-in use in an
    emerging outbreak, complementing MCMC-based inference methods.
License: Apache License (>= 2)
URL: https://github.com/cdcgov/cfa-gam-rt,
    https://cdcgov.github.io/cfa-gam-rt/
BugReports: https://github.com/cdcgov/cfa-gam-rt/issues
Suggests:
    spelling,
    testthat (>= 3.0.0),
    pkgdown,
    withr,
    usethis,
    primarycensored,
    vdiffr,
    knitr,
    rmarkdown,
    pkgload
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports:
    cli,
    glue,
    gratia,
    mgcv,
    rlang,
    ggplot2,
    scales
Depends:
    R (>= 3.50)
LazyData: true
Language: en-US
VignetteBuilder: knitr