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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- Depends3 packages