Description: Given independent and identically distributed observations X(1), ..., X(n), this package 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.

Title: Estimate a Log-Concave Probability Mass Function from Discrete
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.

Title: A Lightweight, Modern and Flexible Logging Utility
Description: Inspired by the the 'futile.logger' R package and 'logging' Python module, this utility provides a flexible and extensible way of formatting and delivering log messages with low overhead.
Suggests: glue, jsonlite, crayon, slackr, RPushbullet, testthat, covr,
knitr, rmarkdown, devtools, roxygen2, parallel

Suggests: glue, pander, jsonlite, crayon, slackr, RPushbullet,
telegram, testthat, covr, knitr, rmarkdown, devtools, roxygen2,
parallel, rsyslog, shiny, callr, txtq, botor, R.utils,

Suggests: glue, pander, jsonlite, crayon, slackr (>= 1.4.1),
RPushbullet, telegram, testthat, covr, knitr, rmarkdown,
devtools, roxygen2, parallel, rsyslog, shiny, callr, txtq,

Description: a logging package emulating the python logging package.