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weibullness  

Goodness-of-Fit Test for Weibull Distribution (Weibullness)
View on CRAN: Click here


Download and install weibullness package within the R console
Install from CRAN:
install.packages("weibullness")

Install from Github:
library("remotes")
install_github("cran/weibullness")

Install by package version:
library("remotes")
install_version("weibullness", "1.24.1")



Attach the package and use:
library("weibullness")
Maintained by
Chanseok Park
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-24
Latest Update: 2023-08-08
Description:
Conducts a goodness-of-fit test for the Weibull distribution (referred to as the weibullness test) and furnishes parameter estimations for both the two-parameter and three-parameter Weibull distributions. Notably, the threshold parameter is derived through correlation from the Weibull plot. Additionally, this package conducts goodness-of-fit assessments for the exponential, Gumbel, and inverse Weibull distributions, accompanied by parameter estimations. For more details, see Park (2017) <doi:10.23055/ijietap.2017.24.4.2848>, Park (2018) <doi:10.1155/2018/6056975>, and Park (2023) <doi:10.3390/math11143156>. This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korea government (MSIT) (No. 2022R1A2C1091319, RS-2023-00242528).
How to cite:
Chanseok Park (2018). weibullness: Goodness-of-Fit Test for Weibull Distribution (Weibullness). R package version 1.24.1, https://cran.r-project.org/web/packages/weibullness
Previous versions and publish date:
1.18.6 (2018-05-24 11:56), 1.19.8 (2019-08-19 10:20), 1.22.12 (2022-12-02 10:30), 1.23.8 (2023-08-08 12:10)
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