marginal_distribution: Fit marginal distribution

In Surrogate: Evaluation of Surrogate Endpoints in Clinical Trials

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.

Surrogate documentation built on June 22, 2024, 9:16 a.m.