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:Tong Wang [aut, cre], Kejun He [aut], Wei Ma [aut], Dipankar Bandyopadhyay [aut], Samiran Sinha [aut]

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'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • 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.

1 exports 0.00 score 6 dependencies 138 downloads

Last updated 4 years agofrom:25e68fa356. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-linux-x86_64NOTESep 03 2024

Exports:CSDfit

Dependencies:numDerivorthopolynompolynomRcppRcppArmadillosplines2