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.
- Version1.0.6
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release07/03/2015
Documentation
Team
Kaspar Rufibach
Fadoua Balabdaoui
Show author detailsRolesAuthorHanna Jankowski
Show author detailsRolesAuthorKathrin Weyermann
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 169 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 times.
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Last 365 days
This package has been downloaded 2,428 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 37 downloads.
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Dependencies
- Depends3 packages