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-4.5)ehaGoF_0.1.1.zip(r-4.4)ehaGoF_0.1.1.zip(r-4.3)
ehaGoF_0.1.1.tgz(r-4.4-any)ehaGoF_0.1.1.tgz(r-4.3-any)
ehaGoF_0.1.1.tar.gz(r-4.5-noble)ehaGoF_0.1.1.tar.gz(r-4.4-noble)
ehaGoF_0.1.1.tgz(r-4.4-emscripten)ehaGoF_0.1.1.tgz(r-4.3-emscripten)
ehaGoF.pdf |ehaGoF.html
ehaGoF/json (API)

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

Peer review:

On CRAN:

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

1.68 score 48 scripts 173 downloads 18 exports 0 dependencies

Last updated 4 years agofrom:3fb41c030e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 16 2024
R-4.5-winOKOct 16 2024
R-4.5-linuxOKOct 16 2024
R-4.4-winOKOct 16 2024
R-4.4-macOKOct 16 2024
R-4.3-winOKOct 16 2024
R-4.3-macOKOct 16 2024

Exports:GoFgofACoDgofAICgofARSqgofCAICgofCoDgofCVgofMADgofMAPEgofMEgofMRAEgofPCgofPIgofRAEgofRMSEgofRRMSEgofRSqgofSDR

Dependencies: