The goal of 'ralger' is to facilitate web scraping in R.
The user has the ability to extract a vector with scrap(), a tidy dataframe using tidy_scrap(), a table with table_scrap() and web links with weblink_scrap().
magrittr, rvest, xml2, testthat, tidyr, dplyr, stringr,
robotstxt, crayon, purrr

c(
person("Mohamed El Fodil", "Ihaddaden", email = "ihaddaden.fodeil@gmail.com", role = c("aut", "cre")),
person("Ezekiel", "Ogundepo", role = c("ctb")))
Mohamed El Fodil Ihaddaden [aut, cre],
Ezekiel Ogundepo [ctb]

c(
person("Mohamed El Fodil", "Ihaddaden", email = "ihaddaden.fodeil@gmail.com", role = c("aut", "cre")),
person("Ezekiel", "Ogundepo", role = c("ctb")),
person("Romain", "François", email = "romain@purrple.cat", role = c("ctb")))
Mohamed El Fodil Ihaddaden [aut, cre],
Ezekiel Ogundepo [ctb],
Romain François [ctb]

magrittr, rvest, xml2, testthat, tidyr, dplyr, stringr,
robotstxt, crayon, purrr, curl

The goal of 'ralger' is to facilitate web scraping in R.
magrittr, rvest, xml2, testthat, tidyr, dplyr, stringr,
robotstxt, crayon, curl, stringi

rvest, xml2, tidyr, dplyr, stringr, robotstxt, crayon, curl,
stringi

Estimation and Inference in Random Attention Models
It is widely documented in psychology, economics and other disciplines that socio-economic agents do not pay full attention to all available choices, rendering standard revealed preference theory invalid. This package implements the estimation and inference procedures documented in Cattaneo, Ma, Masatlioglu and Suleymanov (2017) <http://www-personal.umich.edu/~cattaneo/papers/Cattaneo-Ma-Masatlioglu-Suleymanov_2017_RAM.pdf>, which utilizes standard choice data to partially identify and estimate decision maker's preference. For inference, different simulation-based critical values are provided.
Matias D. Cattaneo, Xinwei Ma, Yusufcan Masatlioglu, Elchin Suleymanov

It is widely documented in psychology, economics and other disciplines that socio-economic agents do not pay full attention to all available choices, rendering standard revealed preference theory invalid. This package implements the estimation and inference procedures documented in Cattaneo, Ma, Masatlioglu and Suleymanov (2017) <arXiv:1712.03448>, which utilizes standard choice data to partially identify and estimate decision maker's preference. For inference, several simulation-based critical values are provided.