Package: |
logcondiscr |
Type: |
Package |
Version: |
1.0.6 |
Date: |
2015-07-03 |
License: |
GPL (>=2) |
LazyLoad: |
yes |
The main functions in the package are:
logConDiscrMLE
: Compute the maximum likelihood estimator (MLE) of a log-concave PMF from i.i.d. data. The constrained log-likelihood function is maximized using an active set algorithm as initially described in Weyermann (2007).
logConDiscrCI
: Compute the maximum likelihood estimator (MLE) of a log-concave PMF from i.i.d. data and corresponding, asymptotically valid, pointwise confidence bands as
developed in Balabdaoui et al (2012).
kInflatedLogConDiscr
: Compute an estimate of a mixture of a log-concave PMF that is inflated at $k$, from i.i.d. data, using an EM algorithm.
Weyermann, K. (2007). An Active Set Algorithm for Log-Concave Discrete Distributions. MSc thesis, University of Bern (Supervisor: Lutz Duembgen).