Package: EMAR 1.0.0

Friday Nwabueze Ogana

EMAR: Empirical Model Assessment

A tool that allows users to generate various indices for evaluating statistical models. The fitstat() function computes indices based on the fitting data. The valstat() function computes indices based on the validation data set. Both fitstat() and valstat() will return 16 indices SSR: residual sum of squares, TRE: total relative error, Bias: mean bias, MRB: mean relative bias, MAB: mean absolute bias, MAPE: mean absolute percentage error, MSE: mean squared error, RMSE: root mean square error, Percent.RMSE: percentage root mean squared error, R2: coefficient of determination, R2adj: adjusted coefficient of determination, APC: Amemiya's prediction criterion, logL: Log-likelihood, AIC: Akaike information criterion, AICc: corrected Akaike information criterion, BIC: Bayesian information criterion, HQC: Hannan-Quin information criterion. The lower the better for the SSR, TRE, Bias, MRB, MAB, MAPE, MSE, RMSE, Percent.RMSE, APC, AIC, AICc, BIC and HQC indices. The higher the better for R2 and R2adj indices. Petre Stoica, P., Selén, Y. (2004) <doi:10.1109/MSP.2004.1311138>\n Zhou et al. (2023) <doi:10.3389/fpls.2023.1186250>\n Ogana, F.N., Ercanli, I. (2021) <doi:10.1007/s11676-021-01373-1>\n Musabbikhah et al. (2019) <doi:10.1088/1742-6596/1175/1/012270>.

Authors:Friday Nwabueze Ogana [aut, cre], Sacramento Corral-Rivas [aut]

EMAR_1.0.0.tar.gz
EMAR_1.0.0.tar.gz(r-4.5-noble)EMAR_1.0.0.tar.gz(r-4.4-noble)
EMAR_1.0.0.tgz(r-4.4-emscripten)EMAR_1.0.0.tgz(r-4.3-emscripten)
EMAR.pdf |EMAR.html✨
EMAR/json (API)

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

2 exports 0.00 score 0 dependencies 4 scripts 953 downloads

Last updated 10 months agofrom:9290b599e9. Checks:OK: 2. Indexed: yes.

Exports:fitstatvalstat

Dependencies: