sampleone: Survey Sampling Methods for Teaching and Practice
Planning, selection, and estimation for surveys under the main
probability sampling designs taught in introductory sampling courses:
simple random sampling with and without replacement, stratified
sampling (proportional, Neyman, and cost-based allocation), systematic
sampling, one- and two-stage cluster sampling,
and ratio and regression estimators. Functions accept a superset of the
inputs a given formula requires and silently ignore arguments that are
not needed for the selected computation. Each function returns a
structured object with the point estimate, the associated variance and
confidence interval, a step-by-step breakdown of the calculation, and a
short pedagogical note suggesting related methods to explore, making the
package suitable both for applied survey work and for classroom use.
Methods follow Cochran (1977, ISBN:0-471-16240-X) and
Bolfarine & Bussab (2005, ISBN:8521203675), among others referenced in
each function's documentation.
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