c(person(given = "Juan Pablo",
family = "Ruiz Nicolini",
role = c("aut", "cre", "cph"),
email = "juanpabloruiznicolini@gmail.com",
comment = c(ORCID = "0000-0002-3138-6343")),
person(given = "Camila",
family = "Higa",
email= "chiga1226@gmail.com",
role = c("ctb")),
person(given = "Iván",
family = "Lewin",
email= "ivanlewin@protonmail.com",
role = c("ctb")),
person(given = "Lucas",
family ="Enrich",
email="lucas.a.enrich@gmail.com",
role = c("ctb")))
geofacet (>= 0.2.0), dplyr, tidyr (>= 1.1.0), magrittr, readr,
stringr, rvest, xml2, glue, tibble, DT, attempt, curl (>= 4.2),
assertthat, gt, forcats, ggplot2, ggthemes, purrr, scales,
rlang (>= 0.4.3), RColorBrewer, grDevices, cowplot, sf,
wordcloud2, jsonlite, ggtext, lubridate, ggparliament, httr
pkgcond, knitr, rmarkdown, formattable, utf8, qpdf
Juan Pablo Ruiz Nicolini [aut, cre, cph]
(<https://orcid.org/0000-0002-3138-6343>),
Camila Higa [ctb],
Iván Lewin [ctb],
Lucas Enrich [ctb]

geofacet (>= 0.2.0), dplyr, tidyr (>= 1.1.0), magrittr,
formattable, readr, stringr, rvest, xml2, glue, tibble, DT,
attempt, curl (>= 4.2), assertthat, gt, forcats, ggplot2,
ggthemes, purrr, scales, rlang (>= 0.4.3), RColorBrewer,
grDevices, cowplot, sf, wordcloud2, jsonlite, ggtext,
lubridate, ggparliament

person(given = "Jinhwan",
family = "Kim",
role = c("aut", "cre", "cph"),
email = "hwanistic@gmail.com")
Create hexagonal shape sticker image.
'polaroid' can be used in user's web browser.
'polaroid' can be used in 'shinyapps.io'.
In both way, user can download created 'hexSticker' as 'PNG' image.
'polaroid' is built based on 'argonDash', 'colourpicker' and 'hexSticker' R package.
argonDash, argonR, colourpicker, ggplot2, grid, hexSticker,
png, shiny, shinyWidgets

Policy Learning via Doubly Robust Empirical Welfare Maximization
over Trees
c(
person("Zhengyuan", "Zhou", role = "aut"),
person("Susan", "Athey", role = "aut"),
person("Stefan", "Wager", role = "aut"),
person("Ayush", "Kanodia", role = "aut"),
person("Erik", "Sverdrup", role = "cre", email = "erikcs@stanford.edu")
)
Multi-action treatment effect estimation and policy learning
as in Zhou, Athey and Wager (2018) <arXiv:1810.04778>.
Zhengyuan Zhou [aut],
Susan Athey [aut],
Stefan Wager [aut],
Ayush Kanodia [aut],
Erik Sverdrup [cre]