Package: sps 0.5.4.9001
sps: Sequential Poisson Sampling
Sequential Poisson sampling is a variation of Poisson sampling for drawing probability-proportional-to-size samples with a given number of units, and is commonly used for price-index surveys. This package gives functions to draw stratified sequential Poisson samples according to the method by Ohlsson (1998, ISSN:0282-423X), as well as other order sample designs by Rosén (1997, <doi:10.1016/S0378-3758(96)00186-3>), and generate appropriate bootstrap replicate weights according to the generalized bootstrap method by Beaumont and Patak (2012, <doi:10.1111/j.1751-5823.2011.00166.x>).
Authors:
sps_0.5.4.9001.tar.gz
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sps.pdf |sps.html✨
sps/json (API)
NEWS
# Install 'sps' in R: |
install.packages('sps', repos = c('https://marberts.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/marberts/sps/issues
official-statisticssamplingstatisticssurvey-sampling
Last updated 2 days agofrom:b4765a1f66. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-win | OK | Nov 21 2024 |
R-4.5-linux | OK | Nov 21 2024 |
R-4.4-win | OK | Nov 21 2024 |
R-4.4-mac | OK | Nov 21 2024 |
R-4.3-win | OK | Nov 21 2024 |
R-4.3-mac | OK | Nov 21 2024 |
Exports:becomes_taexpected_coverageinclusion_proborder_samplingprop_allocationpsspssps_repweights
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Expected coverage | expected_coverage |
Calculate inclusion probabilities | becomes_ta inclusion_prob |
Construct a proportional allocation | prop_allocation |
Stratified sequential Poisson sampling | order_sampling ps sps |
Bootstrap replicate weights for sequential Poisson sampling | sps_repweights |