cfr: Estimate Disease Severity and Case Ascertainment

Estimate the severity of a disease and ascertainment of cases, as discussed in Nishiura et al. (2009) <doi:10.1371/journal.pone.0006852>.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	checkmate, stats
Suggests:	dplyr, tidyr, purrr, scales, forcats, ggplot2, testthat (≥ 3.0.0), knitr, bookdown, spelling, incidence2, data.table, distributional, distcrete
Published:	2023-11-21
Author:	Pratik R. Gupte [aut, cre, cph], Adam Kucharski [aut, cph], Tim Russell [aut, cph], Joshua W. Lambert [rev], Hugo Gruson [rev], Tim Taylor [rev], James M. Azam [rev], Abdoelnaser M. Degoot [rev], Sebastian Funk [rev]
Maintainer:	Pratik R. Gupte <pratik.gupte at lshtm.ac.uk>
BugReports:	https://github.com/epiverse-trace/cfr/issues
License:	MIT + file LICENSE
URL:	https://github.com/epiverse-trace/cfr, https://epiverse-trace.github.io/cfr/
NeedsCompilation:	no
Language:	en-GB
Materials:	README NEWS
In views:	Epidemiology
CRAN checks:	cfr results

Documentation:

Reference manual:	cfr.pdf
Vignettes:	Estimating disease severity while correcting for reporting delays Handling data from {incidence2} A primer on working with delay distributions Estimating the proportion of cases that are ascertained during an outbreak Calculating a static, delay-adjusted estimate of disease severity Estimating how disease severity varies over the course of an outbreak

Downloads:

Package source:	cfr_0.1.0.tar.gz
Windows binaries:	r-devel: cfr_0.1.0.zip, r-release: cfr_0.1.0.zip, r-oldrel: cfr_0.1.0.zip
macOS binaries:	r-release (arm64): cfr_0.1.0.tgz, r-oldrel (arm64): cfr_0.1.0.tgz, r-release (x86_64): cfr_0.1.0.tgz, r-oldrel (x86_64): cfr_0.1.0.tgz

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