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 |
| 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 |
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