Title: Dataset and Tools to Research the Riddle of Literary Quality
Authors@R: c(person("Maciej", "Eder", role = c("aut", "cre"),
person("Karina", "van Dalen-Oskam", role = "aut"),
person("Joris", "van Zundert", role = "aut"),
person("Saskia", "Lensink", role = "aut"))
Description: Dataset and functions to explore quality of literary novels. The package is a part of the Riddle of Literary Quality project, and it contains the data of a reader survey about fiction in Dutch, a description of the novels the readers rated, and the results of stylistic measurements of the novels. The package also contains functions to combine, analyze, and visualize these data.

Title: Likelihood-Based Inference for Time Series Extremes
Description: Performs likelihood-based inference for stationary time series
extremes.  The general approach follows Fawcett and Walshaw (2012)
<doi:10.1002/env.2133>.  Marginal extreme value inferences are adjusted for
cluster dependence in the data using the methodology in Chandler and Bate
(2007) <doi:10.1093/biomet/asm015>, producing an adjusted log-likelihood
for the model parameters.  A log-likelihood for the extremal index is
produced using the K-gaps model of Suveges and Davison (2010)
<doi:10.1214/09-AOAS292>. These log-likelihoods are combined to make
Imports: chandwich, exdex, graphics, revdbayes, sandwich, stats

Title: Lightweight Portable Message Queue Using 'SQLite'
Description: Temporary and permanent message queues for R. Built on top of
'SQLite' databases. 'SQLite' provides locking, and makes it possible
to detect crashed consumers. Crashed jobs can be automatically marked
as "failed", or put in the queue again, potentially a limited number of times.
Imports: assertthat, DBI, rappdirs, RSQLite
Packaged: 2017-01-27 16:02:20 UTC; gaborcsardi

Packaged: 2017-10-20 17:39:48 UTC; gaborcsardi

Suggests: callr, covr, processx, testthat, withr
Packaged: 2019-03-08 10:41:18 UTC; gaborcsardi

"cre", "cph")), person(given = "Willem", family = "van Loon", email =
"willem.van.loon@rws.nl", role = c("aut", "cph")), person(given =
"Rijkswaterstaat - The Netherlands", role = c("cph", "fnd", "dtc")))
Description: Data sets on various litter types like beach litter, riverain
litter, floating litter, and seafloor litter are rapidly growing. This
package offers a simple user interface to analyse these litter data in
a consistent and reproducible way. It also provides functions to
facilitate several kinds of litter analysis, e.g., trend analysis,
power analysis, and baseline analysis. Under the hood, these functions
are also used by the user interface. See Schulz et al. (2019)
Suggests: knitr, kableExtra, testthat (>= 2.1.0)
Author: Dennis Walvoort [aut, cre, cph],
Rijkswaterstaat - The Netherlands [cph, fnd, dtc]