dycdtools (version 0.3.1)

objective.fun: Measure the goodness of fit for DYCD model simulations.

Description

Five objective functions can be used to measure goodness of fit: 1) Nash-Sutcliffe efficiency coefficient (NSE), 2) Root Mean Square Error (RMSE), 3) Mean Absolute Error (MAE), 4) Relative Absolute Error (RAE), and 5) Pearson's r.

Usage

objective.fun(
  sim,
  obs,
  fun = "RMSE",
  start.date = "2017-06-06",
  end.date = "2020-02-29",
  min.depth = 0,
  max.depth = 33,
  by.value = 0.5
)

Arguments

sim

a matrix of bio-geochemical variable values with column of time and row of depth.

obs

a data frame of observed value, with three columns: Date, depth, value.

fun

objective function to be calculated. Selected one from "NSE", "RMSE", "MAE","RAE", and "Pearson".

start.date, end.date

the beginning and ending simulation dates for the intended DYRESM-CAEDYM model run. The date format must be "%Y-%m-%d".

min.depth, max.depth

minimum and maximum depth to be compared between simulations and observations.

by.value

the value of increment for depth.

Value

a vector of objective function values. The first is NSE and the second is RMSE.