globalVariables(c("country", "exporter", "importer", "name", "type", "value", "term"))
#' @keywords internal
"_PACKAGE"
#' @title International Trade Data for Application Exercises in AGTPA
#' @name agtpa_applications
#' @docType data
#' @author AGTPA authors, adapted from The World Development Index made by The World Bank
#' @format A data frame with 99,981 rows and 17 columns:
#' \describe{
#' \item{exporter}{Exporter ISO country code}
#' \item{importer}{Importer ISO country code}
#' \item{pair_id}{Symmetric Pair ID}
#' \item{year}{Year}
#' \item{trade}{Nominal trade flows in current US dollars}
#' \item{dist}{Population-weighted bilateral distance between country 'i' and 'j', in kilometers}
#' \item{cntg}{Indicator. Equal to 1 if country 'i' and 'j' share a common border}
#' \item{lang}{Indicator. Equal to 1 if country 'i' and 'j' speak the same official language}
#' \item{clny}{Indicator. Equal to 1 if country 'i' and 'j' share a colonial relationship}
#' \item{rta}{Indicator that is equal to one when country 'i' and 'j' are members of same Regional Trade Agreement}
#' \item{rta_lag3}{3rd lag of RTA}
#' \item{rta_lag4}{4th lag of RTA}
#' \item{rta_lag6}{6th lag of RTA}
#' \item{rta_lag8}{8th lag of RTA}
#' \item{rta_lag9}{9th lag of RTA}
#' \item{rta_lag12}{12th lag of RTA}
#' \item{rta_lead4}{4th lead of RTA}
#' }
#' @description Contains bilateral trade flows for different pairs of countries
#' between 1986 and 2006 and additional variables modelling.
#' @details The data was drawn from the WDI for the year 2005 (earliest year
#' available), the countries with no entry cost data are mainly small probably
#' not in service trade data, and there are some considerations for the
#' countries in this dataset:
#' \itemize{
#' \item{KOR designates RKO since 1949}
#' \item{RUS designates SUN between 1949 and 1991}
#' \item{CZE designates CZS between 1949 and 1992}
#' \item{DEU designates FRG between 1949 and 1989}
#' \item{Germany unified (DEU) has data since 1991}
#' }
#' @keywords data
NULL
# Funs for summaries
#' @importFrom stats as.formula predict update cor pnorm
#' @importFrom fixest feols fepois r2
#' @importFrom broom tidy
#' @importFrom sandwich vcovCL
#' @importFrom msm deltamethod
#' @importFrom dplyr filter mutate_if tibble
#' @importFrom Formula as.Formula
#' @importFrom knitr kable
NULL
# Funs for ebook
#' @importFrom ggplot2 ggplot
#' @importFrom purrr map
#' @importFrom tidyr pivot_wider
NULL
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