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.

1.69 score 49 scripts 246 downloads 18 exports 0 dependencies

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

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-winOKNov 15 2024
R-4.5-linuxOKNov 15 2024
R-4.4-winOKNov 15 2024
R-4.4-macOKNov 15 2024
R-4.3-winOKNov 15 2024
R-4.3-macOKNov 15 2024

Exports:GoFgofACoDgofAICgofARSqgofCAICgofCoDgofCVgofMADgofMAPEgofMEgofMRAEgofPCgofPIgofRAEgofRMSEgofRRMSEgofRSqgofSDR

Dependencies: