Package: ehaGoF 0.1.1

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).

Authors:Alper Gulbe [cre], Ecevit Eyduran [aut]

ehaGoF_0.1.1.tar.gz
ehaGoF_0.1.1.zip(r-4.7)ehaGoF_0.1.1.zip(r-4.6)ehaGoF_0.1.1.zip(r-4.5)
ehaGoF_0.1.1.tgz(r-4.6-any)ehaGoF_0.1.1.tgz(r-4.5-any)
ehaGoF_0.1.1.tar.gz(r-4.7-any)ehaGoF_0.1.1.tar.gz(r-4.6-any)
ehaGoF_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ehaGoF/json (API)

# Install 'ehaGoF' in R:
install.packages('ehaGoF', repos = c('https://agulb.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.56 score 36 scripts 206 downloads 18 exports 0 dependencies

Last updated from:3fb41c030e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK101
source / vignettesOK137
linux-release-x86_64OK98
macos-release-arm64OK146
macos-oldrel-arm64OK142
windows-develOK70
windows-releaseOK57
windows-oldrelOK51
wasm-releaseOK115

Exports:GoFgofACoDgofAICgofARSqgofCAICgofCoDgofCVgofMADgofMAPEgofMEgofMRAEgofPCgofPIgofRAEgofRMSEgofRRMSEgofRSqgofSDR

Dependencies: