sccr-package {sccr} | R Documentation |
The Self-Consistent, Competing Risks (SC-CR) Algorithms
Description
The SC-SR Algorithm is used to calculate the cause-deleted life expectancy improvement for left and right censored data. In the version 2.0 the function creating the probability matrix from double-censored data is added.
Author(s)
Peter Adamic, Alicja Wolny-Dominiak Maintainer: <alicja.wolny-dominiak@ue.katowice.pl>
References
1. Adamic, P., Caron, S. (2014),
"SC-CR Algorithms with Informative Masking",
Scandinavian Actuarial Journal, 2014(4), 339-351.
2. Adamic, P., Dixon, S., Gillis, D. (2010),
"Multiple Decrement Modeling in the Presence of Interval
Censoring and Masking", Scandinavian Actuarial Journal, 2010(4), 312-327.
3. Adamic, P., Ouadah, S. (2009),
"A Kernel Method for Modeling Interval Censored Competing
Risks", South African Statistical Journal, 43(1), 1-20.
4. Turnbull, B. (1976). The Empirical Distribution Function with Arbitrarily Grouped, Censored and Truncated Data, Journal of the Royal Statistical Society. Series B (Methodological), 38(3), 290-295.