Imports: 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,

Description: 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.
Imports: argonDash, argonR, colourpicker, ggplot2, grid, hexSticker,

Title: Policy Learning via Doubly Robust Empirical Welfare Maximization
person("Zhengyuan", "Zhou", role = "aut"),
person("Ayush", "Kanodia", role = "aut"),
person("Erik", "Sverdrup", role = "cre", email = "erikcs@stanford.edu")
Description: Multi-action treatment effect estimation and policy learning
as in Zhou, Athey and Wager (2018) <arXiv:1810.04778>.
Suggests: testthat (>= 2.1.0), DiagrammeR

Description: Learn optimal policies via doubly robust empirical
welfare maximization over trees. This package implements the multi-action doubly
robust approach of Zhou, Athey and Wager (2018) <arXiv:1810.04778> in the case where
we want to learn policies that belong to the class of depth k decision trees.

person("Erik", "Sverdrup", role = c("aut", "cre"), email = "erikcs@stanford.edu"),

welfare maximization over trees. Given doubly robust reward estimates, this package
finds a rule-based treatment prescription policy, where the policy takes the form of
a shallow decision tree that is globally (or close to) optimal.
Suggests: testthat (>= 3.0.4), DiagrammeR

Description: This package provides easy access to various political data APIs
directly from R. For example, you can access Google Civic Information API
<https://developers.google.com/civic-information/> or Sunlight Congress API
<https://sunlightlabs.github.io/congress/> for US Congress data, and POPONG
API <http://data.popong.com/> for South Korea National Assembly data.
Authors@R: c(person("Eunjeong", "Park", role = c("aut", "cre"),
person("Jong Hee", "Park", role = "aut",