RMEP_sta: Statistical analysis for comparisons of MEP estimations and...

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

Description

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).

Usage

RMEP_sta(MEP, obs)

Arguments

MEP	MEP estimations
obs	Observations

Value

A list of statistical criterias

Examples

RMEP_sta (MEP=c(1:100),obs=c(5:104))

Yangyonghust/RMEP documentation built on Nov. 30, 2021, 11:20 a.m.