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
MLEcens_0.1-7.1.tar.gz(r-4.7-arm64)MLEcens_0.1-7.1.tar.gz(r-4.7-x86_64)MLEcens_0.1-7.1.tar.gz(r-4.6-arm64)MLEcens_0.1-7.1.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
MLEcens/json (API)

# Install 'MLEcens' in R:
install.packages('MLEcens', repos = c('https://cran.r-universe.dev', '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:

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

openblas

4.09 score 27 packages 21 scripts 7.2k downloads 1 mentions 11 exports 0 dependencies

Last updated from:ccc55ee7e3. Checks:5 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK132
linux-devel-x86_64OK107
source / vignettesOK125
linux-release-arm64OK121
linux-release-x86_64OK116
wasm-releaseFAIL80

Exports:canon2realcomputeMLEplotCDF1plotCDF2plotCMplotDens1plotDens2plotHMplotRectsreal2canonreduc

Dependencies: