Author: Nicholas Jhirad, Marco Blume, Aaron Jacobs, Amine Gassem
Imports: data.table (>= 1.10.0), openssl, magrittr, purrr, uuid, httr,
Packaged: 2018-02-02 17:42:22 UTC; hq-nb-nicholasj

Description: Market odds from from Pinnacle, an online sports betting bookmaker (see <https://www.pinnacle.com> for more information). Included are datasets for the Major League Baseball (MLB) 2016 season and the USA election 2016. These datasets can be used to build models and compare statistical information with the information from prediction markets.The Major League Baseball (MLB) 2016 dataset can be used for sabermetrics analysis and also can be used in conjunction with other popular Major League Baseball (MLB) datasets such as Retrosheets or the Lahman package by merging by GameID.
Suggests: odds.converter, tidyverse, pinnacle.API, Lahman

Title: Data About the Victims of the Pinochet Regime, 1973-1990
person(given = "Danilo", family = "Freire", email = "danilofreire@gmail.com", role = c("aut", "cre")),
person(given = "Lucas", family = "Mingardi", email = "lucasmingardi@gmail.com", role = "aut"),
person(given = "Robert", family = "McDonnell", email = "robertmylesmcdonnell@gmail.com", role = "aut")
Description: Packages data about the victims of the Pinochet regime as compiled by the Chilean National Commission for Truth and Reconciliation Report (1991, ISBN:9780268016463).
Suggests: devtools, kableExtra, knitr, lubridate, rmarkdown,
Packaged: 2019-05-31 23:15:42 UTC; politicaltheory

Author: Dirk Eddelbuettel and James Balamuta
Description: A 'PNAS'-alike style for 'rmarkdown', derived from the
'Proceedings of the National Academy of Sciences of the United States
of America' (PNAS, see <https://www.pnas.org>) LaTeX style, and
adapted for use with 'markdown' and 'pandoc'.

of America' ('PNAS', see <https://www.pnas.org>) 'LaTeX' style, and

Title: Pin, Discover and Share Resources
Description: Pin remote resources into a local cache to work offline,
improve speed and avoid recomputing; discover and share resources
with others in 'GitHub', 'Kaggle' or 'RStudio Connect'. Resources can
be anything from 'CSV', 'JSON', or image files to arbitrary R objects.
Imports: base64enc, httr, jsonlite, magrittr, openssl, withr, yaml, zip
Suggests: knitr, rmarkdown, R6, testthat
Packaged: 2019-08-28 06:38:33 UTC; javierluraschi