sondage

Fast survey sampling algorithms for R. All functions return indices for easy subsetting.

Installation

# From GitLab
remotes::install_gitlab("dickoa/sondage")

Usage

library(sondage)

# Simple random sample
idx <- srs(50, 1000)
sample_df <- df[idx, ]

# Unequal probability sampling
pik <- inclusion_prob(df$size, n = 50)
idx <- up_maxent(pik)
sample_df <- df[idx, ]

# Batch sampling for simulations
samples <- up_maxent(pik, nrep = 10000)  # n × 10000 matrix

Functions

Equal probability: - srs() - Simple random sampling - systematic() - Systematic sampling - bernoulli() - Bernoulli sampling

Unequal probability: - up_maxent() - Maximum entropy / Conditional Poisson - up_brewer() - Brewer’s method - up_systematic() - Systematic PPS - up_poisson() - Poisson sampling - up_multinomial() - PPS with replacement

Utilities: - inclusion_prob() - Compute π from measure of size

Method comparison

Method	Fixed n	Exact π	All π_kl > 0
up_maxent	✓	✓	✓
up_brewer	✓	✓	✓
up_systematic	✓	✓	✗

References

Tillé, Y. (2006). Sampling Algorithms. Springer.