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#' Get T-Rank Ratings
#'
#' Returns current T-Rank ratings and two forms of strength of schedule.
#'
#' \itemize{\item `x_elite_sos` is the percentage of games that an 'elite' team
#' would project to lose against this team's non-conference or overall schedule.
#' \item `x_cur_sos` is the current average Barthag rating of opponents. \item
#' `x_fut_sos` is the projected average Barthag rating of opponents.}
#'
#' @returns Returns a tibble with 19 columns:
#' \describe{
#' \item{\code{team}}{character.}
#' \item{\code{conf}}{character.}
#' \item{\code{barthag}}{double. The estimation of a team's win probability
#' against the average Division 1 team on a neutral court.}
#' \item{\code{barthag_rk}}{integer.}
#' \item{\code{adj_o}}{double.}
#' \item{\code{adj_o_rk}}{integer.}
#' \item{\code{adj_d}}{double.}
#' \item{\code{adj_d_rk}}{integer.}
#' \item{\code{adj_t}}{double.}
#' \item{\code{adj_t_rk}}{integer.}
#' \item{\code{wab}}{double. The number of wins above or below the expected
#' total from a bubble team against the same schedule.}
#' \item{\code{nc_elite_sos}}{double.}
#' \item{\code{nc_fut_sos}}{double.}
#' \item{\code{nc_cur_sos}}{double.}
#' \item{\code{ov_elite_sos}}{double.}
#' \item{\code{ov_fut_sos}}{double.}
#' \item{\code{ov_cur_sos}}{double.}
#' \item{\code{seed}}{integer.}
#' \item{\code{year}}{double.}
#' }
#' @param year Defaults to current season (YYYY).
#' @importFrom magrittr %>%
#' @importFrom dplyr as_tibble
#' @importFrom httr modify_url
#' @importFrom jsonlite fromJSON
#' @importFrom cli cli_abort
#' @examples
#' \donttest{try(bart_ratings(year=2020))}
#'
#' @export
bart_ratings <- function(year=current_season()) {
# test passed year
if (!is.null(year) & !(is.numeric(year) && nchar(year) == 4 && year >= 2008)) {
cli::cli_abort(c(
"{.var year} must be 2008 or later",
"x" = "You passed through {year}"
))
}
base_url <- 'https://api.cbbstat.com/ratings?'
parsed <- httr::modify_url(
base_url,
query = list(
year = year
)
)
data <- data.frame()
tryCatch(
expr = {
data <- jsonlite::fromJSON(parsed) %>%
make_toRvik_data(sprintf('Team Ratings: %i', year), Sys.time())
},
error = function(e) {
check_docs_error()
},
warning = function(w) {
},
finally = {
}
)
return(data)
}
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