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 412 downloads 20 exports 9 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK102
source / vignettesOK166
linux-releaseOK102
macos-releaseOK101
macos-oldrelOK103
windows-develOK73
windows-releaseOK81
windows-oldrelOK74
wasm-releaseOK77

Exports:DirectiondMLEdTriangularGradientLHesseLJ00J10J11J20kInflatedLogConDiscrLikFunkLocalCoarsenLocalConcavityLocalExtendLocalMLELocalNormalizelogConDiscrCIlogConDiscrMLErTriangularStepSize

Dependencies:cobslatticeMASSMatrixMatrixModelsmvtnormquantregSparseMsurvival