Package: MLEcens 0.1-7.1

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:Marloes Maathuis [aut, cre]

MLEcens_0.1-7.1.tar.gz
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MLEcens.pdf |MLEcens.html✨
MLEcens/json (API)

# Install 'MLEcens' in R:
install.packages('MLEcens', repos = 'https://cloud.r-project.org')
Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • 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

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas

3.38 score 17 packages 20 scripts 2.4k downloads 1 mentions 11 exports 0 dependencies

Last updated 6 months agofrom:ccc55ee7e3. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 19 2025
R-4.5-linux-x86_64OKFeb 19 2025

Exports:canon2realcomputeMLEplotCDF1plotCDF2plotCMplotDens1plotDens2plotHMplotRectsreal2canonreduc

Dependencies:

Citation

To cite package ‘MLEcens’ in publications use:

Maathuis M (2024). MLEcens: Computation of the MLE for Bivariate Interval Censored Data. R package version 0.1-7.1, https://CRAN.R-project.org/package=MLEcens.

Corresponding BibTeX entry: 

  @Manual{,
    title = {MLEcens: Computation of the MLE for Bivariate Interval
      Censored Data},
    author = {Marloes Maathuis},
    year = {2024},
    note = {R package version 0.1-7.1},
    url = {https://CRAN.R-project.org/package=MLEcens},
  }