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 = '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:1 OK, 2 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Apr 01 2025 |
R-4.5-linux-x86_64 | NOTE | Apr 01 2025 |
R-4.4-linux-x86_64 | NOTE | Apr 01 2025 |
Exports:CSDfit
Dependencies:numDerivorthopolynompolynomRcppRcppArmadillosplines2
Citation
To cite package ‘FMCCSD’ in publications use:
Wang T, He K, Ma W, Bandyopadhyay D, Sinha S (2020). FMCCSD: Efficient Estimation of Clustered Current Status Data. R package version 1.0, https://CRAN.R-project.org/package=FMCCSD.
Corresponding BibTeX entry:
@Manual{, title = {FMCCSD: Efficient Estimation of Clustered Current Status Data}, author = {Tong Wang and Kejun He and Wei Ma and Dipankar Bandyopadhyay and Samiran Sinha}, year = {2020}, note = {R package version 1.0}, url = {https://CRAN.R-project.org/package=FMCCSD}, }
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 |