Analysis of Coarsely Observed Data
An S4 Class that stores a MCMC fit coarse data object
An S4 Class that stores a fitted coarse data object
Function that calculates dgamma with a offset of 1 (i.e., 1 is equival...
Fits the distribution to the passed-in data using MCMC as implemented ...
censored survival data
A function to estimate the relative case fatality ratio when reporting...
Tries to guess the observation types (SIC, DIC, or exact).
Get the log-likelihood value of a cd.fit or cd.fit.mcmc object
Negative log likelihood for a dataset of interval-censored data, given...
Does a metropolis hastings for the Erlang distribution
posterior log likelihood function to pass to MCMCpack sampler
Function that calculates pgamma with a offset of 1 (i.e., 1 is equival...
Simulate incubation period analyses with coarse 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>.