FMCCSD: Efficient Estimation of Clustered Current Status Data

Current status data abounds in the field of epidemiology and public health, where the only observable data for a subject is the random inspection time and the event status at inspection. Motivated by such a current status data from a periodontal study where data are inherently clustered, we propose a unified methodology to analyze such complex data.

Version: 1.0
Imports: Rcpp (≥ 0.12.18), numDeriv, splines2, orthopolynom
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-04-14
DOI: 10.32614/CRAN.package.FMCCSD
Author: Tong Wang [aut, cre], Kejun He [aut], Wei Ma [aut], Dipankar Bandyopadhyay [aut], Samiran Sinha [aut]
Maintainer: Tong Wang <tong at>
License: GPL-2
NeedsCompilation: yes
CRAN checks: FMCCSD results


Reference manual: FMCCSD.pdf


Package source: FMCCSD_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): FMCCSD_1.0.tgz, r-oldrel (arm64): FMCCSD_1.0.tgz, r-release (x86_64): FMCCSD_1.0.tgz, r-oldrel (x86_64): FMCCSD_1.0.tgz


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