| MLEln2p {WeibullR} | R Documentation |
Quick Fit, Maximum Likelihood Estimate for 2-parameter lognormal distributions
Description
Determination of lognormal fitting parameters, goodness of fit measures and confidence interval bounds with optional graphical display.
Usage
MLEln2p(x, s=NULL, bounds=FALSE, show=FALSE)
Arguments
x |
A vector of failure data, or a dataframe wit time, event and optionally qty columns |
s |
An optional vector of suspension data. |
bounds |
A logical argument defining whether confidence interval bounds should be calculated by pivotal analysis. |
show |
A logical argument defining whether a simple graphical output is desired. |
Details
This function is intended to provide a simple casual method of standard lognormal fitting based on default methods, without options.
Value
When the bounds argument is set to FALSE this function returns a vector with named elements for Mulog, Sigmalog, and LL (log-likelihood). When the bounds argument is set to TRUE a list is returned containing the vector as described and a dataframe of confidence interval bound values at a fixed set of descriptive quantiles, suitable for comparison with other software.
References
William Q. Meeker and Luis A. Escobar, (1998) "Statistical Methods for Reliability Data", Wiley-Interscience, New York
Robert B. Abernethy, (2008) "The New Weibull Handbook, Fifth Edition"
John I. McCool, (2012) "Using the Weibull Distribution: Reliability, Modeling and Inference"
Examples
failures<-c(90,96,30,49,82)
suspensions<-c(100,45,10)
fit<-MLEln2p(failures, suspensions)