LLw: Log Likelihood for weibull fitted data, failures and...

Description Usage Arguments Details Value References Examples

View source: R/loglikelihood.r

Description

Determination of log-likelihood values for the basic distributions covered by R should be ubiquitous, but an implementation is provided here to enable likelihood ratio testing particularly for comparison of 3-parameter optimized models with their 2-parameter counterpart.

Usage

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LLw(x, s=NULL, Eta, Beta)

Arguments

x

A vector of failure data.

s

An optional vector of suspension data.

Eta

The scale parameter from a weibull fit.

Beta

The shape parameter from a weibull fit.

Details

Function LLw can only handle datasets with failure and suspension data. For data including intervals wblrLikelihood can be used. This function is somewhat unique among likelihood functions in that it will scan the suspension data for removal of negative values. Such negative values are likely to be entered as data is provided for a 3-parameter fit by explicitly providing the original data with vector subtraction by the optimized t0. The primary intention for likelihood determination is to permit likelihood ratio testing for comparison of 3-parameter optimized models with their 2-parameter counterpart.

Value

Returns a log-likelihood value.

References

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

Marie Laure Delignette-Muller, Christophe Dutang (2015). "fitdistrplus: An R Package for Fitting Distributions". Journal of Statistical Software, 64(4), 1-34. URL http://www.jstatsoft.org/v64/i04/.

Examples

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failures<-c(90,96,30,49,82)
suspensions<-c(100,45,10)
fit<-lslr(getPPP(failures, suspensions))
LL<-LLw(failures, suspensions, fit[1], fit[2])

WeibullR documentation built on July 27, 2018, 3 p.m.