#' BMI for Age - Pediatric Growth Standard
#'
#' BMI for age quantile, distribution, and zscore function based on LMS data
#' from the CDC and WHO.
#'
#' @inherit growth-standards
#'
#' @examples
#' # The 54th quantile BMI (kg * m^(-2)) for a six year (72 month) old female
#' # is
#' bmi <- q_bmi_for_age(p = 0.54, male = 0, age = 72.0)
#' all.equal(p_bmi_for_age(q = bmi, male = 0, age = 72), 0.54)
#' all.equal(z_bmi_for_age(q = bmi, male = 0, age = 72), qnorm(0.54))
#'
#' # Find the 29th percentile for females from ages 0 through 6 years in three
#' # month increments. Sourcing the only CDC will generate a warning;
#' # suppressed in this example.
#' ages <- seq(0, 72, by = 1)
#' bmi_29 <-
#' data.frame(
#' age = ages
#' , "CDC" = suppressWarnings(q_bmi_for_age(p = 0.29, male = 0, age = ages, source = "CDC"))
#' , "WHO" = q_bmi_for_age(p = 0.29, male = 0, age = ages, source = "WHO")
#' )
#'
#' plot(
#' x = bmi_29$age
#' , y = bmi_29$WHO
#' , col = 1
#' , pch = 16
#' , xlab = "Age (months)", ylab = "29th percentile BMI (kg * m^(-2))"
#' , type = "b"
#' )
#' points(x = bmi_29$age, y = bmi_29$CDC, col = 2, pch = 17, type = "b")
#' legend("bottomright", col = 1:2, pch = 16:17, legend = c("WHO", "CDC"))
#'
#' @name bmi_for_age
NULL
#' @rdname bmi_for_age
#' @export
p_bmi_for_age <- function(q, male, age, source = getOption("pedbp_pgs_source", "CDC"), ...) {
cppPGSF(qp = q, male = male, x = age, source = source, metric = "bmi_for_age", type = "distribution", ...)
}
#' @rdname bmi_for_age
#' @export
q_bmi_for_age <- function(p, male, age, source = getOption("pedbp_pgs_source", "CDC"), ...) {
cppPGSF(qp = p, male = male, x = age, source = source, metric = "bmi_for_age", type = "quantile", ...)
}
#' @rdname bmi_for_age
#' @export
z_bmi_for_age <- function(q, male, age, source = getOption("pedbp_pgs_source", "CDC"), ...) {
cppPGSF(qp = q, male = male, x = age, source = source, metric = "bmi_for_age", type = "zscore", ...)
}
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