MAP: Maximum _a posterori_

In mixture: Mixture Models for Clustering and Classification

Maximum a posterori

Description

Generates labels from a classification matrix z

Usage

  MAP(z_ig)

Arguments

z_ig	A classification matrix of positive numbers in which all rows must sum to one.

Value

A numeric matrix is returned of size n times g, with row sums adding up to 1.

Author(s)

Nik Pocuca, Ryan P. Browne and Paul D. McNicholas.

Maintainer: Paul D. McNicholas <[e-mail]>

Examples

  ## Not run: 

# Simple example. 
MAP(z_ig_random_soft(100,2))

# import dataset. 
data(x2)
mm <- gpcm(data = as.matrix(x2),G = 1:7,
           start = 2,
           veo = FALSE,pprogress=FALSE)

best = get_best_model(mm)
# You can get labels using the internal object with MAP.
labs <- MAP(best$model_obj[[1]]$zigs)
# or you can just get labels directly. 
labs2 <- best$map
  
## End(Not run)

mixture documentation built on Sept. 27, 2023, 1:06 a.m.