Skip to content

JSUparameters

Estimate Parameters of the Best-Fitting JohnsonSU Distribution

v1.0.0 · Dec 17, 2021 · GPL (>= 3)

Description

Uses least squares optimisation to estimate the parameters of the best-fitting JohnsonSU distribution for a given dataset, with the possibility of the distributions corresponding to the limiting cases of the JohnsonSU distribution. The code for the Golden Section Search used in the optimisation has been adapted from E. Cai. This package has been created as an extension of my Master's thesis. E. Cai (2013, "Scripts and Functions: Using R to Implement the Golden Section Search Method for Numerical Optimization", <https://chemicalstatistician.wordpress.com/2013/04/22/using-r-to-implement-the-golden-bisection-method/>).

Downloads

201

Last 30 days

16194th

201

Last 90 days

201

Last year

CRAN Check Status

14 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (14 non-OK)
OK r-devel-linux-x86_64-debian-clang

*


            
OK r-devel-linux-x86_64-debian-gcc

*


            
OK r-devel-linux-x86_64-fedora-clang

*


            
OK r-devel-linux-x86_64-fedora-gcc

*


            
OK r-devel-macos-arm64

*


            
OK r-devel-windows-x86_64

*


            
OK r-oldrel-macos-arm64

*


            
OK r-oldrel-macos-x86_64

*


            
OK r-oldrel-windows-x86_64

*


            
OK r-patched-linux-x86_64

*


            
OK r-release-linux-x86_64

*


            
OK r-release-macos-arm64

*


            
OK r-release-macos-x86_64

*


            
OK r-release-windows-x86_64

*


            

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Version History

new 1.0.0 Mar 10, 2026