CRAN/E | AllMetrics

AllMetrics

Calculating Multiple Performance Metrics of a Prediction Model

Installation

About

Provides a function to calculate multiple performance metrics for actual and predicted values. In total eight metrics will be calculated for particular actual and predicted series. Helps to describe a Statistical model's performance in predicting a data. Also helps to compare various models' performance. The metrics are Root Mean Squared Error (RMSE), Relative Root Mean Squared Error (RRMSE), Mean absolute Error (MAE), Mean absolute percentage error (MAPE), Mean Absolute Scaled Error (MASE), Nash-Sutcliffe Efficiency (NSE), Willmott’s Index (WI), and Legates and McCabe Index (LME). Among them, first five are expected to be lesser whereas, the last three are greater the better. More details can be found from Garai and Paul (2023) doi:10.1016/j.iswa.2023.200202.

Key Metrics

Version 0.1.1
Published 2023-04-22 153 days ago
Needs compilation? no
License GPL-3
CRAN checks AllMetrics results

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Maintainer

Maintainer

Mr. Sandip Garai

sandipnicksandy@gmail.com

Authors

Mr. Sandip Garai

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

AllMetrics archive

Reverse Imports

AriGaMyANNSVR