Package: logcondiscr 1.0.6

logcondiscr: Estimate a Log-Concave Probability Mass Function from Discrete i.i.d. Observations

Given independent and identically distributed observations X(1), ..., X(n), allows to compute the maximum likelihood estimator (MLE) of probability mass function (pmf) under the assumption that it is log-concave, see Weyermann (2007) and Balabdaoui, Jankowski, Rufibach, and Pavlides (2012). The main functions of the package are 'logConDiscrMLE' that allows computation of the log-concave MLE, 'logConDiscrCI' that computes pointwise confidence bands for the MLE, and 'kInflatedLogConDiscr' that computes a mixture of a log-concave PMF and a point mass at k.

Authors:Kaspar Rufibach <[email protected]> and Fadoua Balabdaoui <[email protected]> and Hanna Jankowski <[email protected]> and Kathrin Weyermann <[email protected]>

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NEWS

# Install 'logcondiscr' in R:
install.packages('logcondiscr', repos = c('https://numbersman77.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

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

1.00 score 7 scripts 232 downloads 20 exports 9 dependencies

Last updated 10 years agofrom:706351b243. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 27 2025
R-4.5-winOKJan 27 2025
R-4.5-macOKJan 27 2025
R-4.5-linuxOKJan 27 2025
R-4.4-winOKJan 27 2025
R-4.4-macOKJan 27 2025
R-4.3-winOKJan 27 2025
R-4.3-macOKJan 27 2025

Exports:DirectiondMLEdTriangularGradientLHesseLJ00J10J11J20kInflatedLogConDiscrLikFunkLocalCoarsenLocalConcavityLocalExtendLocalMLELocalNormalizelogConDiscrCIlogConDiscrMLErTriangularStepSize

Dependencies:cobslatticeMASSMatrixMatrixModelsmvtnormquantregSparseMsurvival