We consider studies in which information from error-prone diagnostic tests or self-reports are gathered sequentially to determine the occurrence of a silent event. Using a likelihood-based approach incorporating the proportional hazards assumption, we provide functions to estimate the survival distribution and covariate effects. We also provide functions for power and sample size calculations for this setting.

Documentation

Manual: icensmis.pdf
Vignette: None available.

Maintainer: Xiangdong Gu <ustcgxd at gmail.com>

Author(s): Xiangdong Gu and Raji Balasubramanian

Install package and any missing dependencies by running this line in your R console:

install.packages("icensmis")

Depends
Imports Rcpp(>=0.11.0)
Suggests testthat
Enhances
Linking to Rcpp
Reverse
depends
Reverse
imports
icRSF
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suggests
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enhances
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linking to

Package icensmis
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Version 1.3.1
Published 2016-01-03
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation yes
Citation
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Package source icensmis_1.3.1.tar.gz