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ehaGoF
View on CRAN: Click
here
Download and install ehaGoF package within the R console
Install from CRAN:
install.packages("ehaGoF")
Install from Github:
library("remotes")
install_github("cran/ehaGoF")
Install by package version:
library("remotes")
install_version("ehaGoF", "0.1.1")
Attach the package and use:
library("ehaGoF")
Maintained by
Alper Gulbe
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-19
Latest Update: 2020-08-11
Description:
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).
How to cite:
Alper Gulbe (2019). ehaGoF: Calculates Goodness of Fit Statistics. R package version 0.1.1, https://cran.r-project.org/web/packages/ehaGoF
Previous versions and publish date:
0.1.0 (2019-11-19 13:40)
Other packages that cited ehaGoF R package
View ehaGoF citation profile
Other R packages that ehaGoF depends,
imports, suggests or enhances
Functions, R codes and Examples using
the ehaGoF R package
Some associated functions: GoF . gofACoD . gofAIC . gofARSq . gofCAIC . gofCV . gofCoD . gofMAD . gofMAPE . gofME . gofMRAE . gofPC . gofPI . gofRAE . gofRMSE . gofRRMSE . gofRSq . gofSDR .
Some associated R codes: hello.R . Full ehaGoF package functions and examples
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