A tool for computing network representations of attitudes,
  extracted from tabular data such as sociological surveys. Development of
  surveygraph software and training materials was initially funded by the
  European Union under the ERC Proof-of-concept programme (ERC,
  Attitude-Maps-4-All, project number: 101069264). Views and opinions expressed
  are however those of the author(s) only and do not necessarily reflect those
  of the European Union or the European Research Council Executive Agency.
  Neither the European Union nor the granting authority can be held responsible
  for them.

Tools for sample survey planning, including sample size calculation, estimation of expected precision for the estimates of totals, and calculation of optimal sample size allocation.

Provides a pipeline to perform small area estimation and prevalence mapping of binary indicators using health and demographic survey data, described in Dong et al. (2026) <doi:10.1093/jssam/smaf048>, Wakefield et al. (2025) <doi:10.48550/arXiv.2110.09576> and Wakefield et al. (2020) <doi:10.1111/insr.12400>.

Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under <https://statistikat.github.io/surveysd/articles/methodology.html>.

Search for variables across multiple survey datasets,
    examine variable properties (labels, values, missingness), and explore variable
    context within datasets. Useful for navigating complex survey data with many
    variables and understanding variable relationships and metadata.

Sample surveys use scientific methods to draw inferences about population parameters by observing a representative part of the population, called sample. The SRSWOR (Simple Random Sampling Without Replacement) is one of the most widely used probability sampling designs, wherein every unit has an equal chance of being selected and units are not repeated.This function draws multiple SRSWOR samples from a finite population and estimates the population parameter i.e. total of HT, Ratio, and Regression estimators. Repeated simulations (e.g., 500 times) are used to assess and compare estimators using metrics such as percent relative bias (%RB), percent relative root means square error (%RRMSE).For details on sampling methodology,
             see, Cochran (1977) "Sampling Techniques" <https://archive.org/details/samplingtechniqu0000coch_t4x6>.