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coarseDataTools: Analysis of Coarsely Observed Data

Functions to analyze coarse data. Specifically, it contains functions to (1) fit parametric accelerated failure time models to interval-censored survival time data, and (2) estimate the case-fatality ratio in scenarios with under-reporting. This package's development was motivated by applications to infectious disease: in particular, problems with estimating the incubation period and the case fatality ratio of a given disease. Sample data files are included in the package. See Reich et al. (2009) <doi:10.1002/sim.3659>, Reich et al. (2012) <doi:10.1111/j.1541-0420.2011.01709.x>, and Lessler et al. (2009) <doi:10.1016/S1473-3099(09)70069-6>.

Version: 0.6-6
Depends: R (≥ 3.5.0)
Imports: MCMCpack, graphics, stats, methods
Suggests: markdown, knitr
Published: 2021-12-09
Author: Nicholas G. Reich [aut, cre], Justin Lessler [aut], Andrew Azman [aut], Zhian N. Kamvar [ctb]
Maintainer: Nicholas G. Reich <nick at umass.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://cran.r-project.org/package=coarseDataTools
NeedsCompilation: no
Citation: coarseDataTools citation info
Materials: README ChangeLog
In views: Epidemiology, Survival
CRAN checks: coarseDataTools results

Documentation:

Reference manual: coarseDataTools.pdf
Vignettes: Example for estimating the case fatality ratio

Downloads:

Package source: coarseDataTools_0.6-6.tar.gz
Windows binaries: r-devel: coarseDataTools_0.6-6.zip, r-release: coarseDataTools_0.6-6.zip, r-oldrel: coarseDataTools_0.6-6.zip
macOS binaries: r-release (arm64): coarseDataTools_0.6-6.tgz, r-oldrel (arm64): coarseDataTools_0.6-6.tgz, r-release (x86_64): coarseDataTools_0.6-6.tgz, r-oldrel (x86_64): coarseDataTools_0.6-6.tgz
Old sources: coarseDataTools archive

Reverse dependencies:

Reverse imports: EpiEstim

Linking:

Please use the canonical form https://CRAN.R-project.org/package=coarseDataTools to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.