Package: logcondiscr 1.0.7

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 [aut, cre], Fadoua Balabdaoui [aut], Hanna Jankowski [aut]

logcondiscr_1.0.7.tar.gz
logcondiscr_1.0.7.zip(r-4.7-any)logcondiscr_1.0.7.zip(r-4.6-any)logcondiscr_1.0.7.zip(r-4.5-any)
logcondiscr_1.0.7.tgz(r-4.6-any)logcondiscr_1.0.7.tgz(r-4.5-any)
logcondiscr_1.0.7.tar.gz(r-4.7-any)logcondiscr_1.0.7.tar.gz(r-4.6-any)
logcondiscr_1.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
logcondiscr/json (API)

# 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 8 scripts 484 downloads 20 exports 9 dependencies

Last updated from:8eb3656241. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK127
source / vignettesOK158
linux-release-x86_64OK127
macos-release-arm64OK111
macos-oldrel-arm64OK89
windows-develOK92
windows-releaseOK86
windows-oldrelOK93
wasm-releaseOK99

Exports:DirectiondMLEdTriangularGradientLHesseLJ00J10J11J20kInflatedLogConDiscrLikFunkLocalCoarsenLocalConcavityLocalExtendLocalMLELocalNormalizelogConDiscrCIlogConDiscrMLErTriangularStepSize

Dependencies:cobslatticeMASSMatrixMatrixModelsmvtnormquantregSparseMsurvival