import_apsim_out

Function to import *.out files generated by APSIM Classic.

A compilation of more than 80 functions designed to quantitatively and visually evaluate prediction performance of regression (continuous variables) and classification (categorical variables) of point-forecast models (e.g. APSIM, DSSAT, DNDC, supervised Machine Learning). For regression, it includes functions to generate plots (scatter, tiles, density, & Bland-Altman plot), and to estimate error metrics (e.g. MBE, MAE, RMSE), error decomposition (e.g. lack of accuracy-precision), model efficiency (e.g. NSE, E1, KGE), indices of agreement (e.g. d, RAC), goodness of fit (e.g. r, R2), adjusted correlation coefficients (e.g. CCC, dcorr), symmetric regression coefficients (intercept, slope), and mean absolute scaled error (MASE) for time series predictions. For classification (binomial and multinomial), it offers functions to generate and plot confusion matrices, and to estimate performance metrics such as accuracy, precision, recall, specificity, F-score, Cohen's Kappa, G-mean, and many more. For more details visit the vignettes <https://adriancorrendo.github.io/metrica/>.

Adrian A. Correndo

metrica

Prediction Performance Metrics

Luiz H. Moro Rosso

Rai Schwalbert

Carlos Hernandez

Leonardo M. Bastos

Luciana Nieto

Dean Holzworth

Ignacio A. Ciampitti

import_apsim_out function

<dl><dt>filepath</dt>
<dd>Argument to specify the location path to the *.out file.</dd></dl>

Arguments

import_apsim_out — import_apsim_out

<dl>

<dt>filepath</dt>
<dd>Argument to specify the location path to the *.out file.</dd>

</dl>

import_apsim_out: import_apsim_out

Description

Usage

Value

Arguments

Details

Examples