sample_without_replacement: Draw 'sample_size' samples from 'population_vector' without...

In stochtree: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference

Draw sample_size samples from population_vector without replacement, weighted by sampling_probabilities

Description

Draw sample_size samples from population_vector without replacement, weighted by sampling_probabilities

Usage

sample_without_replacement(
  population_vector,
  sampling_probabilities,
  sample_size
)

Arguments

population_vector	Vector from which to draw samples.
sampling_probabilities	Vector of probabilities of drawing each element of population_vector.
sample_size	Number of samples to draw from population_vector. Must be less than or equal to length(population_vector)

Value

Vector of size sample_size

Examples

a <- as.integer(c(4,3,2,5,1,9,7))
p <- c(0.7,0.2,0.05,0.02,0.01,0.01,0.01)
num_samples <- 5
sample_without_replacement(a, p, num_samples)

stochtree documentation built on Nov. 22, 2025, 9:06 a.m.