person("Simon", "Stiebellehner", email="simon.stiebellehner@gmail.com", role = c("aut")),
'DBI' methods and using 'dplyr'/'dbplyr' idioms.

person("Peter", "Knaus", email = "peter.knaus@wu.ac.at", role = c("aut")),
person("Daniel", "Winkler", email = "daniel.winkler@wu.ac.at", role = c("aut")),
person("Oliver", "Flasch", email = "oflasch@gmail.com", role = c("aut")),

person("Luca", "Rauchenberger", email = "luca.rauchenberger@wu.ac.at", role = c("aut")),

Description: 'Yandex Clickhouse' (<https://clickhouse.com/>) is a high-performance relational column-store database to enable

Title: 'Yandex Clickhouse' Interface for R with Basic 'dplyr' Support
person("Yann", "Collet", role = c("cph", "aut"), comment = "Yann Collet is the author and copyright holder of 'lz4'")
Yann Collet [cph, aut] (Yann Collet is the author and copyright holder

Title: RClimMAWGEN (R Climate Index Multi-site Auto-regressive Weather
GENeretor): a package to generate time series of climate
Author: Emanuele Cordano, Annalisa Di Piazza
Description: This package contains wrapper functions and methods which
allow to use "climdex.pcic" and "RMAWGEN" packages.  With this
simple approach it is possible to calculate climate change
indices, suggested by the WMO-CCL, CLIVAR,
temperature and precipitation time series, obtained by the
application of RMAWGEN.  Each index can be applied to both
observed data and to synthetic time series produced by the
Weather Generator, over a reference period (e.g. 1981-2010, as
in the example). It contains also functions and methods to
evaluate the generated time series of climate change indices
tests.Bugs/comments/questions/collaboration of any kind are

Description: This package contains wrapper functions and methods which allow to
use "climdex.pcic" and "RMAWGEN" packages.  With this simple approach it is
possible to calculate climate change indices, suggested by the WMO-CCL,
CLIVAR, ETCCDMI(http://www.climdex.org),on stochastic generations of
temperature and precipitation time series, obtained by the application of
RMAWGEN.  Each index can be applied to both observed data and to synthetic
time series produced by the Weather Generator, over a reference period
(e.g. 1981-2010, as in the example). It contains also functions and methods
to evaluate the generated time series of climate change indices consistency
by statistical tests.Bugs/comments/questions/collaboration of any kind are