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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 stat.tamu.edu>
License: GPL-2
NeedsCompilation: yes
CRAN checks: FMCCSD results

Documentation:

Reference manual: FMCCSD.pdf

Downloads:

Package source: FMCCSD_1.0.tar.gz
Windows binaries: r-devel: FMCCSD_1.0.zip, r-release: FMCCSD_1.0.zip, r-oldrel: FMCCSD_1.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FMCCSD to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.