rmf_performance: Generic function to get model performance measures

In rogiersbart/RMODFLOW: Pre- and post-processing of MODFLOW files

Generic function to get model performance measures

Description

Generic function to get model performance measures

Get model performance measures

Get model performance measures from a hpr object

Usage

rmf_performance(...)

## Default S3 method:
rmf_performance(
  sim,
  obs,
  na_value = -888,
  measures = c("ssq", "mse", "mae", "me", "r2", "nse", "rmse", "pbias", "kge"),
  ...
)

## S3 method for class 'hpr'
rmf_performance(
  hpr,
  hobdry = -888,
  measures = c("ssq", "mse", "mae", "me", "r2", "nse", "rmse", "pbias", "kge"),
  ...
)

Arguments

...	arguments passes to hydroGOF::gof
sim	numeric vector with simulated values
obs	numeric vector with observed values corresponding to sim
na_value	numeric; flags values to remove from the calculations; defaults to -888
measures	character vector with the required performance measures. Possible values are any of the measures present in hydroGOF::gof + 'ssq' (sum of squared errors)
hpr	head predictions file object
hobdry	value used to flag dry cells; defaults to -888

Value

data.frame with performance measures

data.frame with performance measures

rogiersbart/RMODFLOW documentation built on Jan. 14, 2023, 4:21 a.m.