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 <kaspar.rufibach@gmail.com> and Fadoua Balabdaoui <fadoua@ceremade.dauphine.fr> and Hanna Jankowski <hkj@mathstat.yorku.ca> and Kathrin Weyermann <kathrin.weyermann@bkw-fmb.ch>

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NEWS

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

On CRAN:

Conda:

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 184 downloads 20 exports 9 dependencies

Last updated 10 years agofrom:706351b243. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-winOKMar 28 2025
R-4.5-macOKMar 28 2025
R-4.5-linuxOKMar 28 2025
R-4.4-winOKMar 28 2025
R-4.4-macOKMar 28 2025
R-4.4-linuxOKMar 28 2025
R-4.3-winOKMar 28 2025
R-4.3-macOKMar 28 2025

Exports:DirectiondMLEdTriangularGradientLHesseLJ00J10J11J20kInflatedLogConDiscrLikFunkLocalCoarsenLocalConcavityLocalExtendLocalMLELocalNormalizelogConDiscrCIlogConDiscrMLErTriangularStepSize

Dependencies:cobslatticeMASSMatrixMatrixModelsmvtnormquantregSparseMsurvival