Checks if a Distribution is suited

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Description

Most distributions are used for modelling either minima or maxima. Sometimes a better fit can be achieved by reversing the distribution. This functions helps to decide if the reversed distribution is advisable.

Usage

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check_distribution(extreme = c("minimum", "maximum"), distribution,
                   def = list(minimum = c(),
                              maximum = c("gev")))

Arguments

extreme

character vector, describing the kind of extreme value to be fitted. Either 'minimum' or 'maximum'.

distribution

character vector of length one. Distribution chosen by the user.

def

a list of length two, containing the elements 'minimum' and 'maximum'.

Value

a character vector as long as distribution containing the optimal choice for the given distributions under the constraints of def.

Examples

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# Using the Weibull distribution for minimum values is a good choice
check_distribution(extreme = "minimum", distribution = "wei")

# ... whereas the GEV is meant for maxima.
# Therefore the reversed distribution is suggested.
check_distribution(extreme = "minimum", distribution = "gev")

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