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coarseDataTools
View on CRAN: Click
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Download and install coarseDataTools package within the R console
Install from CRAN:
install.packages("coarseDataTools")
Install from Github:
library("remotes")
install_github("cran/coarseDataTools")
Install by package version:
library("remotes")
install_version("coarseDataTools", "0.6-6")
Attach the package and use:
library("coarseDataTools")
Maintained by
Nicholas G. Reich
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-04-09
Latest Update: 2021-12-09
Description:
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) ,
Reich et al. (2012) , and
Lessler et al. (2009) .
How to cite:
Nicholas G. Reich (2010). coarseDataTools: Analysis of Coarsely Observed Data. R package version 0.6-6, https://cran.r-project.org/web/packages/coarseDataTools. Accessed 22 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for coarseDataTools
Functions, R codes and Examples using
the coarseDataTools R package
Some associated functions: EMforCFR . cd.fit.mcmc . cd.fit . dgammaOff1 . dic.fit.mcmc . dic.fit . exp.win.lengths . fluA.inc.per . gets.type . logLik-methods . loglikhd . mcmc.erlang . mcmcpack.ll . nycH1N1 . pgammaOff1 . precision.simulation . simulated.outbreak.deaths .
Some associated R codes: CFR_estimation.R . S4stuff.R . coarseDataTools-package.R . dic.fit.R . dic.fit.mcmc.R . gets.type.R . sampleSizeSimulation.R . Full coarseDataTools package functions and examples
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