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logcondiscr  

Estimate a Log-Concave Probability Mass Function from Discrete i.i.d. Observations
View on CRAN: Click here


Download and install logcondiscr package within the R console
Install from CRAN:
install.packages("logcondiscr")

Install from Github:
library("remotes")
install_github("cran/logcondiscr")

Install by package version:
library("remotes")
install_version("logcondiscr", "1.0.6")



Attach the package and use:
library("logcondiscr")
Maintained by
Kaspar Rufibach
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-06-21
Latest Update: 2015-07-03
Description:
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.
How to cite:
Kaspar Rufibach (2011). logcondiscr: Estimate a Log-Concave Probability Mass Function from Discrete i.i.d. Observations. R package version 1.0.6, https://cran.r-project.org/web/packages/logcondiscr. Accessed 11 Mar. 2026.
Previous versions and publish date:
1.0.0 (2011-06-21 06:36), 1.0.1 (2011-12-01 09:00), 1.0.2 (2012-01-24 11:50), 1.0.3 (2012-10-06 12:22), 1.0.4 (2013-09-23 21:55), 1.0.5 (2014-02-06 01:33)
Other packages that cited logcondiscr R package
View logcondiscr citation profile
Other R packages that logcondiscr depends, imports, suggests or enhances
Complete documentation for logcondiscr
Functions, R codes and Examples using the logcondiscr R package
Some associated functions: Triangular . internal . kInflatedLogConDiscr . logConDiscrCI . logConDiscrMLE . logcondiscr-package . 
Some associated R codes: Full logcondiscr package functions and examples
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