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ehaGoF: Calculates Goodness of Fit Statistics

Calculates 15 different goodness of fit criteria. These are; standard deviation ratio (SDR), coefficient of variation (CV), relative root mean square error (RRMSE), Pearson's correlation coefficients (PC), root mean square error (RMSE), performance index (PI), mean error (ME), global relative approximation error (RAE), mean relative approximation error (MRAE), mean absolute percentage error (MAPE), mean absolute deviation (MAD), coefficient of determination (R-squared), adjusted coefficient of determination (adjusted R-squared), Akaike's information criterion (AIC), corrected Akaike's information criterion (CAIC), Mean Square Error (MSE), Bayesian Information Criterion (BIC) and Normalized Mean Square Error (NMSE).

Version: 0.1.1
Imports: graphics, stats
Published: 2020-08-11
DOI: 10.32614/CRAN.package.ehaGoF
Author: Alper Gulbe [cre], Ecevit Eyduran [aut]
Maintainer: Alper Gulbe <alper.gulbe at igdir.edu.tr>
License: GPL-2
NeedsCompilation: no
CRAN checks: ehaGoF results

Documentation:

Reference manual: ehaGoF.pdf

Downloads:

Package source: ehaGoF_0.1.1.tar.gz
Windows binaries: r-devel: ehaGoF_0.1.1.zip, r-release: ehaGoF_0.1.1.zip, r-oldrel: ehaGoF_0.1.1.zip
macOS binaries: r-release (arm64): ehaGoF_0.1.1.tgz, r-oldrel (arm64): ehaGoF_0.1.1.tgz, r-release (x86_64): ehaGoF_0.1.1.tgz, r-oldrel (x86_64): ehaGoF_0.1.1.tgz
Old sources: ehaGoF archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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