DataXujing/LN0SCIs: Simultaneous CIs for Ratios of Means of Log-Normal Populations with Zeros

Construct the simultaneous confidence intervals for ratios of means of Log-normal populations with excess zeros. It also has a Python module that do the same thing, and can be applied to multiple comparisons of parameters of any k mixture distributions. And we provide four methods, the method based on generalized pivotal quantity with order statistics and the quantity based on Wilson by Li et al. (2009) <doi:10.1016/j.spl.2009.03.004> (FGW), and the methods based on generalized pivotal quantity with order statistics and the quantity based on Hannig (2009) <doi:10.1093/biomet/asp050> (FGH). The other two methods are based on two-step MOVER intervals by Amany H, Abdel K (2015) <doi:10.1080/03610918.2013.767911>. We deduce Fiducial generalized pivotal two-step MOVER intervals based on Wilson quantity (MOVERW) and based on Hannig's quantity (MOVERH). All these approach you can find in the paper of us which it has been submitted.

install.packages("remotes")
remotes::install_github("DataXujing/LN0SCIs")