Package {AutoStrataK}

Type: Package
Title: Automatic Optimal Stratification for Survey Sampling
Version: 0.1.4
Description: Provides tools for the automatic stratification of survey populations using clustering and optimization techniques. The package assists researchers and survey practitioners in constructing homogeneous strata to improve the efficiency and precision of survey estimates. Functions are provided for generating strata, evaluating stratification quality, summarizing stratified populations, and visualizing stratification results. These tools support the design and implementation of efficient survey sampling strategies. The package utilizes standard statistical methods from survey sampling, clustering, and optimization for automatic stratification. Methods are described in Cochran (1977, ISBN:9780471162405) and Lohr (2021, ISBN:9780367354556).
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, rlang, stats
Depends: R (≥ 4.1.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-06-25 06:07:03 UTC; Dr. Imtiyaz
Author: Khalid Islam [aut, cre]
Maintainer: Khalid Islam <drkhalidulislam@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-30 19:42:08 UTC

Automatic Stratification

Description

Automatically partitions a population into homogeneous strata using clustering-based methods. The resulting strata can be used in survey sampling designs to improve the precision and efficiency of estimates.

Usage

autostrata(data, target, n_strata = 4)

Arguments

data

A data frame containing the study variables.

target

A target variable used for stratification.

n_strata

An integer specifying the desired number of strata.

Value

A data frame containing the original data along with the assigned stratum membership. The returned object has class "autostrata".

Examples

data <- data.frame(
  x = c(10, 15, 20, 25, 30, 35),
  y = c(5, 8, 12, 16, 20, 24)
)

result <- autostrata(
  data = data,
  target = y,
  n_strata = 2
)

head(result)

Create Optimal Strata

Description

Create Optimal Strata

Usage

clustering_strata(data, target, n_strata)

Arguments

data

Input data frame

target

Target variable name

n_strata

Number of strata

Value

Data frame with stratum assignments

Compare Efficiency

Description

Compares variance under simple random sampling (SRS) with within-stratum variance after stratification.

Usage

compare_sampling(data, target)

Arguments

data

A stratified data frame containing a variable named stratum.

target

Character string giving the target variable name.

Value

A numeric value representing relative efficiency. Values greater than 1 indicate improved efficiency due to stratification.

Evaluate Strata

Description

Computes measures of stratification quality, including the overall variance of the target variable, the total within-stratum variance, and a homogeneity index.

Usage

evaluate_strata(data, target)

Arguments

data

A stratified data frame containing a column named stratum.

target

Character string specifying the target variable used for stratification.

Value

A list containing:

overall_variance

Variance of the target variable in the full population.

within_variance

Sum of within-stratum variances.

homogeneity

Homogeneity index, where larger values indicate more homogeneous strata.

Examples

data <- data.frame(
  income = c(15, 18, 20, 25, 30, 35, 40, 50),
  stratum = c(1, 1, 2, 2, 3, 3, 4, 4)
)

evaluate_strata(
  data = data,
  target = "income"
)

Neyman Allocation

Description

Neyman Allocation

Usage

optimal_allocation(data, target, total_sample)

Arguments

data

Stratified data frame

target

Target variable name

total_sample

Total sample size

Value

Allocation table

Plot Strata

Description

Plot Strata

Usage

## S3 method for class 'autostrata'
plot(x, ...)

Arguments

x

Object of class autostrata

...

Additional arguments

Value

A ggplot object

Summary Method

Description

Summary Method

Usage

## S3 method for class 'autostrata'
summary(object, ...)

Arguments

object

Object of class autostrata

...

Additional arguments

Value

Printed summary