MRRln2pyx: Y on X median rank regression for lognormal 2-parameter

In pivotals: Functions implementing pivotal Monte Carlo methods

Description

MRRw2pyx fits a set of data consisting of failures, or alternatively failures and suspensions, to the 2-parameter lognormal distribution.

Usage

 MRRln2pyx(x, options=NULL)

Arguments

x	An object of class abrem
options	An optional list object such as generated by options.abrem including the named item method.fit. Implementation only accounts for the second element of method.fit with a value of "qbeta", otherwise the method of fitting will default to Benard's approximation for determining plotting positions.

Details

This function assures that data has been entered as an abrem object. A call is made to a fast C++ implementation to complete the regression. Y on X regression is considered an alternative for possible use with interval censored data by Dr. Abernethy. Refer to section 5.8 of The New Weibull Handbook, Fifth Edition.

Value

A vector containing results in the following order: Mulog, Sigmalog, R_squared

References

Dr. Robert B. Abernethy, (2008) "The New Weibull Handbook, Fifth Edition"

Examples

failures<-c(90,96,30,49,82)
suspensions<-c(100,45,10)
data<-abremObj(failures,suspensions)
regression_result<-MRRln2pyx(data)

pivotals documentation built on May 2, 2019, 4:51 p.m.