#' Calculates the Foster-Greer-Thorbecke (FGT) family of poverty measures
#'
#' @param x A vector of a income source
#' @param z A numeric income value representing the poverty line
#' @param w (optional) A vector of sample weights
#' @param alpha An arbitrary inequality aversion parameter: alpha = 0 returns the poverty rate; alpha = 1 returns the average income gap. Default to 0.
#'
#' @return Returns the numeric value of the FGT measure of poverty
#'
#' @import tibble
#' @import dplyr
#'
#' @export
poverty_fgt <- function(x, z, w = NULL, alpha = 0){
if(is.null(w)){
w = rep(1, length(x))
}
if(length(z) == 1){
z = rep(z, length(x))
}
data <- tibble(x,w,z) %>% filter(complete.cases(.))
rm(x, w, z)
data <- data %>%
mutate(g = ifelse(x < z, ((z - x)/z), 0),
fgt = ifelse(x < z, g^alpha, 0)) %>%
summarise(fgt = sum(w*fgt),
n = sum(w))
data$fgt/data$n
}
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