lfstat (version 0.9.4)

check_distribution: Checks if a Distribution is suited

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

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

distribution containing the optimal choice for the given distributions under the constraints of def.

Examples

# 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")