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DESCRIPTION
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DESCRIPTION
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Package: covidestim
Title: Real-time Bayesian forcasting of R_t
Version: 0.1.1.0000
Authors@R:
c(person("Marcus", "Russi",
role = c("aut", "cre"),
email = "marcus.russi@yale.edu",
comment = c(ORCID = "0000-0002-7106-068X")),
person("Melanie", "Chitwood",
role = c("aut"),
email = "melanie.chitwood@yale.edu",
comment = c(ORCID = "0000-0002-9289-5694")),
person("Fayette", "Klaassen",
role = c("aut"),
email = "fklaassen@hsph.harvard.edu",
comment = c(ORCID = "0000-0002-9488-2571")))
Description: covidestim is a Bayesian nowcasting approach that explicitly
accounts for reporting delays and secular changes in case ascertainment to
generate real-time estimates of COVID-19 epidemiology on the basis of reported
cases and deaths. Using this approach, we can estimate time trends in
infections, symptomatic cases, and deaths for all 50 US states and the District
of Columbia from early-March 2020 through the present. The covidestim package
contains all you need to reproduce our work, but it’s really targeted at users
who want to try running our model on their own state- or county-level data.
URL: https://covidestim.org, https://github.com/covidestim, https://pkg.covidestim.org
BugReports: https://github.com/covidestim/covidestim/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
Imports:
assertthat,
ggplot2,
glue,
Hmisc,
lubridate,
magrittr,
methods,
parallel,
plyr,
purrr,
furrr,
future,
Rcpp (>= 1.0.4.6),
RcppParallel (>= 5.0.1),
Rdpack,
rlang,
rstan (>= 2.19.3),
rstantools (>= 2.1.1),
splines,
stats,
stringr,
tibble,
tidyr,
R.utils
Suggests:
testthat,
grDevices,
knitr,
rmarkdown
RoxygenNote: 7.1.2
RdMacros: Rdpack
Depends:
R (>= 3.4.0)
LinkingTo:
BH (>= 1.66.0),
Rcpp (>= 0.12.0),
RcppEigen (>= 0.3.3.3.0),
RcppParallel (>= 5.0.1),
rstan (>= 2.18.1),
StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Biarch: true
VignetteBuilder: knitr