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#' Returns parameters needed to calculate eGFR according to the method specified.
#' @description returns true if all patient covs specified in required covs are non-null, non-NA and not a 0-character string. See `is.nil` for missing data types checked. Returns TRUE if no covariates are required.
#' @param cov_reqs vector of covariates required for calculating derived covariatiate
#' @param patient_covs named list of covariates
#' @param verbose stop and describe missing covariate(s)?
#' @param fail invoke `stop()` if not all covariates available?
#' @examples
#' check_covs_available(
#' egfr_cov_reqs('cockcroft_gault_ideal')[[1]],
#' list(creat = 1, weight = 100, height = 160, sex = 'female', age = 90))
#' @export
check_covs_available <- function(
cov_reqs = NULL,
patient_covs = NULL,
verbose = TRUE,
fail = TRUE
) {
if (is.null(patient_covs)){
return(FALSE)
}
if (is.null(cov_reqs) | length(cov_reqs) == 0){
return(TRUE)
}
covs_missing <- c()
for (cov in cov_reqs){
if (is.nil(patient_covs[[cov]])){
covs_missing <- c(covs_missing, cov)
}
}
if (length(covs_missing) == 0) {
return(TRUE)
} else if (verbose && fail) {
stop(paste0('Sorry, missing covariates: ', paste0(covs_missing, collapse = ', ')))
} else {
return(FALSE)
}
}
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