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logcondiscr (version 1.0.6)

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

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.

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Install

install.packages('logcondiscr')

Monthly Downloads

187

Version

1.0.6

License

GPL (>= 2)

Maintainer

Last Published

July 3rd, 2015

Functions in logcondiscr (1.0.6)

internal

Functions for estimation of a log-concave probability mass function via maximum likelihood
logcondiscr-package

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

Functions to compute a and simulate from a triangular probability mass function
kInflatedLogConDiscr

Compute a mixture of a point mass at 0 and a log-concave probability mass function from i.i.d. data
logConDiscrMLE

Compute log-concave probability mass function from i.i.d. data
logConDiscrCI

Compute pointwise confidence bands for the log-concave MLE of a PMF