weibullness

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).

Last 30 days

This package has been downloaded 688 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 8,316 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Aug 26, 2024 with 82 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.