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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 |
| Reference manual: | FMCCSD.pdf |
| 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 |
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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.