R/sampleone-package.R

#' sampleone: Survey Sampling Methods for Teaching and Practice
#'
#' Planning, selection, and estimation for surveys under simple random
#' sampling (with/without replacement), stratified sampling, systematic
#' sampling, one- and two-stage cluster sampling, and ratio/regression
#' estimators. Developed to accompany the "Nocoes
#' de Amostragem" course at DEs-ICET-UFMT (Prof. Dr. Mariano Martinez
#' Espinosa).
#'
#' See `vignette("catalogo-formulas", package = "sampleone")` for a full
#' map from course-notes equations to package functions.
#'
#' @section Function families:
#' \itemize{
#'   \item `pop_*()`, `amostra_*()` -- Cap. 2, basic population/sample concepts.
#'   \item `aas_*()` -- Cap. 3, simple random sampling.
#'   \item `estr_*()` -- Cap. 4, stratified sampling.
#'   \item `sist_*()` -- Cap. 5, systematic sampling.
#'   \item `cong1_*()`, `cong2_*()`, `cong_estima()` -- Cap. 6, cluster sampling.
#'   \item `reg_*()`, `razao_*()` -- Cap. 7, regression and ratio estimators.
#'   \item `amostragem_*()` -- cross-cutting utilities (response-rate
#'     adjustment, comparison of sampling plans).
#' }
#'
#' Every function returns an object of class `sampling_result` with
#' `print()`/`summary()` methods -- see `?print.sampling_result`.
#'
#' @keywords internal
"_PACKAGE"

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sampleone documentation built on Oct. 13, 2026, 5:07 p.m.