s2m: Sequential 2-means number of nonzero-values parameters for an...

In danieladamspencer/bayestensorreg: Bayesian Tensor Regression

Sequential 2-means number of nonzero-values parameters for an iteration

Description

Sequential 2-means number of nonzero-values parameters for an iteration

Usage

s2m(x, b)

Arguments

x	A vector of parameters from a single draw from a posterior distribution
b	The maximum distance at which two clusters of parameters are considered equal

Value

A scalar representing the number of nonzero-valued parameters in a particular draw from a posterior distribution

Examples

post_sample <- numeric(100)
for(k in 1:100) {
  g <- runif(1)
  if(g < 0.8) {
    post_sample[k] <- rnorm(1,0,0.2)
  } else {
    post_sample[k] <- rnorm(1,0,0.2)
  }
}
how_many_nonzero <- s2m(post_sample, b = sd(post_sample))

danieladamspencer/bayestensorreg documentation built on July 23, 2024, 10:14 a.m.