person(given = "Corydon",
family = "Baylor",
role = c("aut", "cre"),
email = "cwbaylor1@gmail.com")
A simple wrapper for 'Wikipedia' data. Specifically, this
package looks to fill a gap in retrieving text data in a tidy format that can be used for Natural Language Processing.

Ivan Bezerra Allaman <ivanalaman@gmail.com>  and
José Cláudio Faria <joseclaudio.faria@gmail.com>
Generates experiments - simulating structured or experimental data as:
completely randomized design, randomized block design, latin square design,
factorial and split-plot experiments (Ferreira, 2008, ISBN:8587692526;
Naes et al., 2007 <doi:10.1002/qre.841>; Rencher et al., 2007, ISBN:9780471754985;
Montgomery, 2001, ISBN:0471316490).

jsonlite, lubridate, rappdirs, readr, tools, utils
person(given = "Stephen",
family = "Kaluzny",
role = c("aut", "cre"),
email = "spkaluzny@gmail.com")
Download geyser eruption and observation data from the GeyserTimes
site (<https://geysertimes.org>) and optionally store it locally. The vignette
shows the a simple analysis of downloading, accessing, and summarizing
the data.

Download geyser eruption and observation data from the GeyserTimes
site (<https://geysertimes.org>) and optionally store it locally. The vignette
shows a simple analysis of downloading, accessing, and summarizing the data.

jsonlite, lubridate, readr, tools, utils

c(person("Tino", "Werner", role=c("aut", "cre", "cph"), email="tino.werner1@uni-oldenburg.de"))
Implementation of routines of the author's PhD thesis on gradient-free Gradient Boosting (Werner, Tino (2020) "Gradient-Free Gradient Boosting", URL '<https://oops.uni-oldenburg.de/id/eprint/4290>').

Tools for working with Hansen et al. 2013 Global Forest Change
dataset
c(person("Alex", "Zvoleff", email="azvoleff@conservation.org",
role=c("aut", "cre")))
rgdal, geosphere, RCurl, rgeos, plyr, ggplot2, grid, sp,
stringr, animation, rasterVis
The gfcanalysis package supports analyses using the Global
Forest Change dataset released by Hansen et al. 2013. gfcanalysis was
written by the Tropical Ecology Assessment and Monitoring (TEAM) Network
(http://www.teamnetwork.org). For additional details on the Global Forest
Change dataset, see: Hansen, M. et al. 2013.  "High-Resolution Global Maps
of 21st-Century Forest Cover Change." Science 342 (15 November): 850-53.
Data available on-line from:
http://earthenginepartners.appspot.com/science-2013-global-forest