coarseDataTools (0.6-3)

0 users

A Collection of Functions to Help with 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.

Maintainer: Nicholas G. Reich
Author(s): Nicholas G. Reich <>, Justin Lessler <>, Andrew Azman <>

License: GPL (>= 2)

Uses: MCMCpack

Released about 3 years ago.

5 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of coarseDataTools yet. Want to be the first? Write one now.

Related packages: BMA, BayHaz, DAAG, DPpackage, Epi, ICE, KMsurv, LearnBayes, LogicReg, MCMCpack, MLEcens, NADA, NestedCohort, SMPracticals, VGAM, aster, bayesSurv, boot, clinfun, cmprsk(20 best matches, based on common tags.)

Search for coarseDataTools on google, google scholar, r-help, r-devel.

Visit coarseDataTools on R Graphical Manual.