Package: MLEcens 0.1-7
Marloes Maathuis
MLEcens: Computation of the MLE for Bivariate Interval Censored Data
We provide functions to compute the nonparametric maximum likelihood estimator (MLE) for the bivariate distribution of (X,Y), when realizations of (X,Y) cannot be observed directly. To be more precise, we consider the situation where we observe a set of rectangles in R^2 that are known to contain the unobservable realizations of (X,Y). We compute the MLE based on such a set of rectangles. The methods can also be used for univariate censored data (see data set 'cosmesis'), and for censored data with competing risks (see data set 'menopause'). We also provide functions to visualize the observed data and the MLE.
Authors:
MLEcens_0.1-7.tar.gz
MLEcens_0.1-7.tar.gz(r-4.5-noble)MLEcens_0.1-7.tar.gz(r-4.4-noble)
MLEcens_0.1-7.tgz(r-4.4-emscripten)MLEcens_0.1-7.tgz(r-4.3-emscripten)
MLEcens.pdf |MLEcens.html✨
MLEcens/json (API)
| # Install 'MLEcens' in R: |
| install.packages('MLEcens', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- actg181 - Data from the Aids Clinical Trials Group protocol ACTG 181
- actg181Mod - Modified data from the Aids Clinical Trials Group protocol ACTG 181
- cosmesis - Breast cosmesis data
- ex - Example data set
- menopause - Menopause data
- menopauseMod - Modified menopause data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:bd787ab084. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 09 2024 |
| R-4.5-linux-x86_64 | NOTE | Sep 09 2024 |
Exports:canon2realcomputeMLEplotCDF1plotCDF2plotCMplotDens1plotDens2plotHMplotRectsreal2canonreduc
Dependencies:
