to_mu_sd_weibull: Parameter Conversion for Weibull Distribution

In GaryBAYLOR/mixR: Finite Mixture Modeling for Raw and Binned Data

Parameter Conversion for Weibull Distribution

Description

The function to_mu_sd_weibull converts the parameters of shape and scale of weibull distributions to the parameters of the mean and standard deviation.

Usage

to_mu_sd_weibull(k, lambda)

Arguments

k	a numeric vector representing the shape of a series of Weibull distributions
lambda	a numeric vector representing the scale of a series of Weibull distributions. k and lambda should have the same length.

Details

The purpose of this function is to convert the parameterization of Weibull distribution in the form of shape and scale to the form of mean and standard deviation.

Value

a list of two items

mu	a vector of the means of Weibull distributions
sd	a vector of the standard deviations of Weibull distributions

See Also

to_k_lambda_weibull

Examples

to_mu_sd_weibull(2, 1)
to_mu_sd_weibull(c(2, 4), c(1, 1))

GaryBAYLOR/mixR documentation built on Oct. 14, 2024, 11:34 p.m.