Package: FMCCSD 1.0
Tong Wang
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.
Authors:
FMCCSD_1.0.tar.gz
FMCCSD_1.0.tar.gz(r-4.5-noble)FMCCSD_1.0.tar.gz(r-4.4-noble)
FMCCSD_1.0.tgz(r-4.4-emscripten)FMCCSD_1.0.tgz(r-4.3-emscripten)
FMCCSD.pdf |FMCCSD.html✨
FMCCSD/json (API)
# Install 'FMCCSD' in R: |
install.packages('FMCCSD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- PD - A clustered current status dataset.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:25e68fa356. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 02 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 02 2024 |
Exports:CSDfit
Dependencies:numDerivorthopolynompolynomRcppRcppArmadillosplines2
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Efficient Estimation of Clustered Current Status Data | FMCCSD-package FMCCSD |
Analysing clustered current status data | CSDfit |
A clustered current status dataset. | PD |