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logcondiscr

1.0.7

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

0packages depend
3.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Kaspar RufibachFirst published 2011-06-218 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-29
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
80%
References docs
100%

Downloads

3.1K
CRAN downloads in the past year
Rank #9,356 · ~8/day · ~255/mo
Daily download trend is not available in this view yet.
23130 days
99790 days
3.1K1 year
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Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (3)
Imports (1)
stats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Listed in earlier versions (1)
no longer listed · 1.0.0 to 1.0.6
Package Timeline

8 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.0.7Latest
    2026-04-26 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0.6
    2015-07-03 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 1.0.5
    2014-02-06 · diff ↗
Show 9 earlier events
  • 1.0.4
    2013-09-23 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 1.0.3
    2012-10-06 · diff ↗
  • R
    R 2.15.0 released · 2012-03-30
  • 1.0.2
    2012-01-24 · diff ↗
  • 1.0.1
    2011-12-01 · diff ↗
  • R
    R 2.14.0 released · 2011-10-31
  • 1.0.0
    2011-06-21
  • R
    R 2.13.0 released · 2011-04-13

Package metadata

First published
2011-06-21
Total releases
8 / 15 yrs
License
GPL (>= 2) OSI
Download size
17 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("logcondiscr")
Rufibach, K., Balabdaoui, F., & Jankowski, H. (2026). logcondiscr: Estimate a Log-Concave Probability Mass Function from Discrete I.i.d. Observations (Version 1.0.7) [Computer software]. https://doi.org/10.32614/CRAN.package.logcondiscr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for logcondiscr version 1.0.7 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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