R/Statistics.R

In Yangyonghust/RMEP: Calculating Evapotranspiration and Energy Fluxes by Maximum Entropy Production Model

#' Statistical analysis for comparisons of MEP estimations and observations
#'
#' Implementing statistical analysis between MEP predicted and observed values, providing the goodness-of-fit statistics.
#' The function is developed based on the hydroGOF package.
#' Quantitative statistics included are: Mean Error (ME), Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Normalized Root Mean Square Error (NRMSE), Pearson product-moment correlation coefficient (r), Spearman Correlation coefficient (r.Spearman), Coefficient of Determination (R2), Ratio of Standard Deviations (rSD), Nash-Sutcliffe efficiency (NSE), Modified Nash-Sutcliffe efficiency (mNSE), Relative Nash-Sutcliffe efficiency (rNSE), Index of Agreement (d), Modified Index of Agreement (md), Relative Index of Agreement (rd), Coefficient of Persistence (cp), Percent Bias (pbias), Kling-Gupta efficiency (KGE), the coef. of determination multiplied by the slope of the linear regression between 'sim' and 'obs' (bR2), and volumetric efficiency (VE).
#' @param MEP MEP estimations
#' @param obs Observations
#' @return A list of statistical criterias
#' @importFrom hydroGOF gof
#' @examples
#' RMEP_sta (MEP=c(1:100),obs=c(5:104))
#' @export
RMEP_sta <- function(MEP,obs){
  gof(sim = MEP,obs = obs)
}