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:
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-4.5-any)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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:3fb41c030e. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 15 2025 |
| R-4.5-win | OK | Mar 15 2025 |
| R-4.5-mac | OK | Mar 15 2025 |
| R-4.5-linux | OK | Mar 15 2025 |
| R-4.4-win | OK | Mar 15 2025 |
| R-4.4-mac | OK | Mar 15 2025 |
| R-4.4-linux | OK | Mar 15 2025 |
| R-4.3-win | OK | Mar 15 2025 |
| R-4.3-mac | OK | Mar 15 2025 |
Exports:GoFgofACoDgofAICgofARSqgofCAICgofCoDgofCVgofMADgofMAPEgofMEgofMRAEgofPCgofPIgofRAEgofRMSEgofRRMSEgofRSqgofSDR
Dependencies:
