summary.gumbelp: Summarizing Posterior Distribution with Parameters of Gumbel

In MCMC4Extremes: Posterior Distribution of Extreme Value Models in R

Description

summary method for class "gumbelp"

Usage

## S3 method for class 'gumbelp'
summary(object, ...)

Arguments

object	an object of class "gumbelp", usually, a result of a call to gumbelp.
...	further arguments passed to or from other methods.

Value

The function summary.gumbelp computes and returns a list of summary statistics of the posterior distribution given in object.

postmean	mean posterior
postmedian	median posterior
postCI	credibility interval
fitm	fit measures for standard Gumbel model

See Also

gumbelp

Examples

# Example with simulated datapoints
x=rgev(300,0.01,10,5)
fit=gumbelp(x,1,300)
fitgum=summary(fit)

# Compare if the fit measures of gumbel is better than measures using GEV
## Not run: fit2=gevp(x,1,300)
## Not run: fitgev=summary(fit2)
# the best model is that with lowest fit measures

Example output

Loading required package: evir
[1] 0.02222222
[1] 0.04444444
[1] 0.06666667
[1] 0.08888889
[1] 0.1111111
[1] 0.1333333
[1] 0.1555556
[1] 0.1777778
[1] 0.2
[1] 0.2222222
[1] 0.2444444
[1] 0.2666667
[1] 0.2888889
[1] 0.3111111
[1] 0.3333333
[1] 0.3555556
[1] 0.3777778
[1] 0.4
[1] 0.4222222
[1] 0.4444444
[1] 0.4666667
[1] 0.4888889
[1] 0.5111111
[1] 0.5333333
[1] 0.5555556
[1] 0.5777778
[1] 0.6
[1] 0.6222222
[1] 0.6444444
[1] 0.6666667
[1] 0.6888889
[1] 0.7111111
[1] 0.7333333
[1] 0.7555556
[1] 0.7777778
[1] 0.8
[1] 0.8222222
[1] 0.8444444
[1] 0.8666667
[1] 0.8888889
[1] 0.9111111
[1] 0.9333333
[1] 0.9555556
[1] 0.9777778
[1] 1

MCMC4Extremes documentation built on May 1, 2019, 8:50 p.m.