summary.gumbelp function

Summarizing Posterior Distribution with Parameters of Gumbel

Summarizing Posterior Distribution with Parameters of Gumbel

summary method for class "gumbelp"

## 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.

Returns

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
  • Maintainer: Fernando Ferraz do Nascimento
  • License: GPL-2
  • Last published: 2016-07-14

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