reliaR (version 0.01)

qq.log.gamma: Quantile versus quantile (QQ) plot for the log-gamma(LG) distribution

Description

The function qq.log.gamma() produces a QQ plot for the ExpExt based on their MLE or any other estimate. Also, a line going through the first and the third quartile can be sketched.

Usage

qq.log.gamma(x, alpha.est, lambda.est, main = " ", line.qt = FALSE, ...)

Arguments

x

vector of observations

alpha.est

estimate of the parameter alpha

lambda.est

estimate of the parameter lambda

main

the title for the plot

line.qt

logical; if TRUE, a line going by the first and third quartile is sketched.

...

additional arguments to be passed to the underlying plot function.

Value

The function qq.log.gamma() carries out a QQ plot for the log-gamma(LG).

References

Klugman, S., Panjer, H. and Willmot, G. (2004). Loss Models: From Data to Decisions, 2nd ed., New York, Wiley.

Lawless, J. F., (2003). Statistical Models and Methods for Lifetime Data, 2nd ed., John Wiley and Sons, New York.

See Also

pp.log.gamma for PP plot and ks.log.gamma function;

Examples

## Load data sets
data(conductors)
## Maximum Likelihood(ML) Estimates of alpha & lambda for the data(conductors)
## Estimates of alpha & lambda using 'maxLik' package
## alpha.est = 0.0088741, lambda.est = 0.6059935

qq.log.gamma(conductors, 0.0088741, 0.6059935, main = " ", line.qt = FALSE)