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-any)ehaGoF_0.1.1.zip(r-4.6-any)ehaGoF_0.1.1.zip(r-4.5-any)
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✨
DESCRIPTION
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.

1.53 score 34 scripts 296 downloads 18 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK80
source / vignettesOK151
linux-releaseOK78
macos-releaseOK122
macos-oldrelOK161
windows-develOK49
windows-releaseOK47
windows-oldrelOK42
wasm-releaseOK81

Exports:GoFgofACoDgofAICgofARSqgofCAICgofCoDgofCVgofMADgofMAPEgofMEgofMRAEgofPCgofPIgofRAEgofRMSEgofRRMSEgofRSqgofSDR

Dependencies: