groupedCS-package: groupedCS

Description Details Author(s) See Also Examples

Description

This package contains all of the code needed to execute all of the simulations presented in the working paper "Misclassified Group Tested Current Status Data". It includes data generating functions, the hybrid EM-PAV algorithm, and the appropriate version of the pool-adjacent-violators algorithm for perfectly classified and misclassified current status data.

Details

Package: groupedCS
Type: Package
Version: 1.0
Date: 2015-12-31
License: GPL-3

Author(s)

Author and Maintainer: Lucia Petito <[email protected]>

See Also

gen.data.weibull.unif, gen.data.fixed, hybrid.em.pav, pava.cs, simulation.random, simulation.fixed

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
#For a detailed example of how the code is used, see vingette.

#To run one iteration of the code for uniform censoring times, use
sim.r <- simulation.random(100, 2, 4, 25, 0.25, 14, 0.95, 0.95, 0.01)
#See output
sim.r

#Do the same for fixed censoring times
sim.f <- simulation.fixed(100, 2, 1:5, seq(0.1, 0.5, 0.1), 0.95, 0.95, 0.01)
#See output
sim.f

lpetito/groupedCS documentation built on May 21, 2017, 2:42 p.m.