regMetrics: Calculate regression metrics

In mrfoliveira/STEvaluation-MDPI2021: Evaluation procedures for forecasting with spatio-temporal data

Description

Calculate MAE, RMSE and utility-based regression evaluation metrics

Usage

regMetrics(
  trues,
  preds,
  y_train = NULL,
  norm = FALSE,
  aeStatFUN = stats::median,
  seStatFUN = mean,
  util = FALSE,
  util.parms = NULL
)

Arguments

trues	a vector of true values
preds	a vector of predicted values
y_train	a vector of training values
norm	a Boolean indicating whether to calculate normalized regression metrics
aeStatFUN	a function to calculate a summary of y_train for absolute error normalization. Default is median
seStatFUN	a function to calculate a summary of y_train for squared error normalization. Default is mean
util	a Boolean indicating whether to calculate utility-based regression metrics
util.parms	a named list of parameters to use for calculating utility-based regression metrics. Should contain slots rel - the relevance function. Default is "auto" which uses method="range" with utilparms$cf as coefficient thr - Relevance threshold. Default is 1 beta - Beta for F-measure. Default is 1

Value

a named vector of calculated metrics

mrfoliveira/STEvaluation-MDPI2021 documentation built on Dec. 21, 2021, 10:07 p.m.