Type: Package Package: rtestim Title: Estimate the Effective Reproductive Number with Trend Filtering Version: 1.0.2.9001 Authors@R: c( person("Daniel J.", "McDonald", , "daniel@stat.ubc.ca", role = c("aut", "cre", "cph")), person("Jiaping", "Liu", , "jiaping.liu@stat.ubc.ca", role = "aut"), person("Zhenglun", "Cai", , "zhenglun.cai@stat.ubc.ca", role = "ctb") ) Description: Use trend filtering, a type of regularized nonparametric regression, to estimate the instantaneous reproduction number, also called Rt. This value roughly says how many new infections will result from each new infection today. Values larger than 1 indicate that an epidemic is growing while those less than 1 indicate decline. For more details about this methodology, see Liu, Cai, Gustafson, and McDonald (2024) . License: MIT + file LICENSE URL: https://github.com/dajmcdon/rtestim, https://dajmcdon.github.io/rtestim/ BugReports: https://github.com/dajmcdon/rtestim/issues Depends: R (>= 3.6.2) Imports: checkmate, cli, dspline, ggplot2, Matrix, methods, Rcpp, rlang, tibble, tvdenoising, vctrs Suggests: dplyr, forcats, knitr, nnet, rmarkdown, testthat (>= 3.0.0), tidyr, xml2 LinkingTo: BH, dspline, Rcpp, RcppEigen, testthat, tvdenoising VignetteBuilder: knitr Config/testthat/edition: 3 Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Config/Needs/website: rmarkdown Config/pak/sysreqs: cmake make libuv1-dev Repository: https://dajmcdon.r-universe.dev Date/Publication: 2026-05-14 19:23:37 UTC RemoteUrl: https://github.com/dajmcdon/rtestim RemoteRef: HEAD RemoteSha: fa078efe991c2ed1b90b658e7ec181101665af97 NeedsCompilation: yes Packaged: 2026-06-13 07:11:34 UTC; root Author: Daniel J. McDonald [aut, cre, cph], Jiaping Liu [aut], Zhenglun Cai [ctb] Maintainer: Daniel J. McDonald