Package: logconcens 0.17-4
Dominic Schuhmacher
logconcens: Maximum Likelihood Estimation of a Log-Concave Density Based on Censored Data
Based on right or interval censored data, compute the maximum likelihood estimator of a (sub)probability density under the assumption that it is log-concave. For further information see Duembgen, Rufibach and Schuhmacher (2014) <doi:10.1214/14-EJS930>.
Authors:
logconcens_0.17-4.tar.gz
logconcens_0.17-4.tar.gz(r-4.5-noble)logconcens_0.17-4.tar.gz(r-4.4-noble)
logconcens_0.17-4.tgz(r-4.4-emscripten)logconcens_0.17-4.tgz(r-4.3-emscripten)
logconcens.pdf |logconcens.html✨
logconcens/json (API)
# Install 'logconcens' in R: |
install.packages('logconcens', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:231dcc368c. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 06 2024 |
R-4.5-linux-x86_64 | OK | Dec 06 2024 |
Exports:cure.profilelc.controllogconlogconcureloglikeplotint
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Maximum Likelihood Estimation of a Log-Concave Density Based on Censored Data | logconcens-package logconcens |
Evaluate the Profile Log-Likelihood on a Grid of p_0-Values | cure.profile |
Set the Control Parameters for 'logcon' | control lc.control |
Methods for Objects of Class 'lcdensity' | lcdensity-methods plot.lcdensity print.lcdensity summary.lcdensity |
Compute Log-Concave MLE Based on Censored or Exact Data | logcon logConCens logconcure |
Compute Log-Likelihood for an Object of Class 'lcdensity' | loglike |
Plot Censored Data | plotint |