Provides easy access to essential climate change datasets to non-climate experts. Users can download the latest raw data from authoritative sources and view it via pre-defined 'ggplot2' charts. Datasets include atmospheric CO2, emissions, instrumental and proxy temperature records, sea levels, Arctic/Antarctic sea-ice, Hurricanes, and Paleoclimate data. Sources include: NOAA Mauna Loa Laboratory <https://gml.noaa.gov/ccgg/trends/data.html>, Global Carbon Project <https://www.globalcarbonproject.org/carbonbudget/>, NASA GISTEMP <https://data.giss.nasa.gov/gistemp/>, National Snow and Sea Ice Data Center <https://nsidc.org/home>, CSIRO <https://research.csiro.au/slrwavescoast/sea-level/measurements-and-data/sea-level-data/>, NOAA Laboratory for Satellite Altimetry <https://www.star.nesdis.noaa.gov/socd/lsa/SeaLevelRise/> and HURDAT Atlantic Hurricane Database <https://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html>, Vostok Paleo carbon dioxide and temperature data: <https://cdiac.ess-dive.lbl.gov/trends/co2/vostok.html>.

A collection of higher order functions from
other programming languages that are useful for R
programmers.
'ask.r' 'funcall.r' 'guard.r' 'pluck.r' 'tee.r'

Higher-Order Generalized Singular Value Decomposition
c(person("Nikolas", "Barkas", role = c("aut","cre"),
email = "Nikolaos_Barkas@hms.harvard.edu"))
Implementation of higher order generalized singular value decomposition (HO GSVD). Based on Ponnapalli, Saunders, etal (2011) <doi:10.1371/journal.pone.0028072>.

Simulates hands and tournaments of Texas Holdem.

Simulates hands and tournaments of Texas Holdem,
the most popular form of poker.
For examples of probability problems involving Texas Holdem
and a brief explanation of the game see Schoenberg, F. (2011).
An Introduction to Probability with Texas Hold'em Examples.
Taylor and Francis, New York, ISBN-13: 978-1439827680.

c(
person("Benjamin", "Schwendinger", role = c("aut", "cre"), email = "benjaminschwe@gmail.com"),
person("Florian", "Schwendinger", role = "aut"),
person("Laura", "Vana", role = "aut")
)
Holistic generalized linear models (HGLMs) extend generalized linear models (GLMs) by enabling the possibility to add further constraints to the model. The 'holiglm' package simplifies estimating HGLMs using convex optimization.
slam, checkmate, MASS, SuppDists, ROI (>= 0.3-0)
ROI.plugin.mosek, ROI.plugin.scs, tinytest (>= 1.0.0)
Benjamin Schwendinger [aut, cre],
Florian Schwendinger [aut],
Laura Vana [aut]