batchmix (version 2.2.1)

predictClass: Predict class

Description

Predicts a final class for each item given a matrix of allocation probabilities.

Usage

predictClass(prob)

Value

An N vector of class allocations.

Arguments

prob

Output from the ``calcAllocProb`` function, a N x K matrix of allocation probabilities.

Examples

# Data in a matrix format
X <- matrix(c(rnorm(100, 0, 1), rnorm(100, 3, 1)), ncol = 2, byrow = TRUE)

# Initial labelling
labels <- c(
  rep(1, 10),
  sample(c(1, 2), size = 40, replace = TRUE),
  rep(2, 10),
  sample(c(1, 2), size = 40, replace = TRUE)
)

fixed <- c(rep(1, 10), rep(0, 40), rep(1, 10), rep(0, 40))

# Batch
batch_vec <- sample(seq(1, 5), replace = TRUE, size = 100)

# Sampling parameters
R <- 1000
thin <- 50

# MCMC samples and BIC vector
samples <- batchSemiSupervisedMixtureModel(
  X,
  R,
  thin,
  labels,
  fixed,
  batch_vec,
  "MVN"
)

# Burn in
burn <- 200
eff_burn <- burn / thin

# Probability across classes
probs <- calcAllocProb(samples, burn = burn)

# Predict the class
preds <- predictClass(probs)