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Add Poetest and its documentation

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# This function lets us perform the Poe (2005) test on WTP values
#' Perform the Poe (2005) test on different discrete choice models
#'
#' @param n number of draws
#' @param model1 Model from which to take the first WTP values
#' @param model2 Model from which to take the second WTP values
#' @param att Vector of attributes whose WTP values you want to compare
#' @param price name of the price coefficient
#' @param vcov which variance-covariance matrix to use. Either normal for the normal one, or rob for the robust one.
#'
#' @return a p value associated with "WTP1>WTP2"
#' @export
#'
#' @examples \dontrun{
#' poeresults<-poetest(n=5000, model1 = clmodels[[model_1]],model2 = clmodels[[model_2]],
#' att=attr, price = "bcost", vcov = "normal")
#' }
poetest <- function(n, model1, model2, att, price, vcov){
#stop command for invalid variance covariance matrix
if (!vcov %in% c("rob", "normal")) {
stop("Invalid value for 'vcov'. Please use one of 'rob' or 'normal'.")
}
## Extract relevant elements of models
@@ -21,8 +45,7 @@ takedraws <-function(n=10000, beta,vc) {
return(draw)
}
getalldraws <- function(n, model1, model2, att, price) {
getalldraws <- function(n, model1, model2, att, price, vcov) {
allmodels <- list(model1,model2)
@@ -30,7 +53,14 @@ getalldraws <- function(n, model1, model2, att, price) {
for (m in 1:2) {
model_draws[[m]] <-takedraws(n,allmodels[[m]][["estimate"]],allmodels[[m]][["varcov"]])
#implement the option to choose between the robust or the normal variance covariance matrix
varcov_matrix <- switch(vcov,
rob = allmodels[[m]][["robvarcov"]],
normal = allmodels[[m]][["varcov"]],
stop("Invalid value for 'vcov'. Please use one of 'rob' or 'normal'.")
)
model_draws[[m]] <-takedraws(n,allmodels[[m]][["estimate"]],varcov_matrix)
model_draws[[m]] <-cbind(model_draws[[m]], wtp= model_draws[[m]][,att]/model_draws[[m]][,price])
}
@@ -38,9 +68,8 @@ getalldraws <- function(n, model1, model2, att, price) {
return(model_draws)
}
poetest <- function(n, model1, model2, att, price){
draws<-getalldraws(n, model1, model2, att, price)
draws<-getalldraws(n, model1, model2, att, price, vcov)
wtpvec <- cbind(wtp1= draws[[1]][,"wtp"], wtp2= draws[[2]][,"wtp"])
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