MaP: Maximum a Posteriori clustering

In fmx: Finite Mixture Parametrization

Maximum a Posteriori clustering

Description

..

Usage

MaP(x, dist, ...)

Arguments

x	numeric vector
dist	an fmx object
...	..

Value

Function MaP() returns an integer vector.

Examples

x = rnorm(1e2L, sd = 2)
m = fmx('norm', mean = c(-1.5, 1.5), w = c(1, 2))
library(ggplot2)
ggplot() + geom_function(fun = dfmx, args = list(dist = m)) + 
  geom_point(mapping = aes(x = x, y = .05, color = factor(MaP(x, dist = m)))) + 
  labs(color = 'Maximum a Posteriori\nClustering')

fmx documentation built on April 3, 2025, 7:09 p.m.