pmix: The mixture cumulative distribution

In fitmix: Finite Mixture Model Fitting of Lifespan Datasets

The mixture cumulative distribution

Description

Computing cumulative distribution function for the well-known mixture models.

Usage

pmix(lifespan, model, K, param)

Arguments

lifespan	Vector of samples
model	choice of one of the mixture models; gompertz, log-logistics, log-normal, and weibull.
K	number of components
param	Vector of weight \omega, shape \alpha, and scale \beta parameters.

Value

A vector of the same length as lifespan data, given the cdf of the one of the mixture models computed at lifespan.

Examples

lifespan<-seq(0,30,0.2)
K<-2
weight<-c(0.5,0.5)
alpha<-c(0.5,1)
beta<-c(1,0.5)
param<-c(weight,alpha,beta)
pmix(lifespan, "log-logistic", K, param)

fitmix documentation built on Feb. 23, 2026, 5:06 p.m.