marginal_distribution {Surrogate}

Fit marginal distribution

Description

The marginal_distribution() function is a wrapper for fitdistrplus::fitdist() that fits a univariate distribution to a data vector.

Usage

marginal_distribution(x, distribution, fix.arg = NULL)

Arguments

x

(numeric) data vector

distribution

Distributional family. One of the follwing:

• "normal": normal distribution

• ⁠"logistic⁠: logistic distribution as parameterized in dlogis()

• "t": student t distribution is parameterized in dt()

• "lognormal": lognormal distribution as parameterized in dlnorm()

• "gamma": gamma distribution as parameterized in dgamma()

• "weibull": weibull distribution as parameterized in dweibull()

fix.arg

An optional named list giving the values of fixed parameters of the named distribution or a function of data computing (fixed) parameter values and returning a named list. Parameters with fixed value are thus NOT estimated by this maximum likelihood procedure.

Value

Object of class fitdistrplus::fitdist that represents the marginal surrogate distribution.