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sps
View on CRAN: Click
here
Download and install sps package within the R console
Install from CRAN:
install.packages("sps")
Install from Github:
library("remotes")
install_github("cran/sps") Install by package version:
library("remotes")
install_version("sps", "0.6.3") Attach the package and use:
library("sps")
Maintained by
Steve Martin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-20
Latest Update: 2025-07-10
Description:
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>).
How to cite:
Steve Martin (2021). sps: Sequential Poisson Sampling. R package version 0.6.3, https://cran.r-project.org/web/packages/sps. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-19 07:50), 0.1.1 (2021-08-20 11:10), 0.1.2 (2021-12-11 19:40), 0.1.3 (2022-02-09 16:30), 0.2.0 (2022-10-28 12:52), 0.3.0 (2022-11-23 08:30), 0.4.0 (2023-02-11 11:10), 0.4.1 (2023-02-12 22:30), 0.5.0 (2023-04-10 11:20), 0.5.2 (2023-08-22 10:20), 0.5.3 (2023-10-16 06:30), 0.5.4 (2024-02-23 15:30), 0.6.0 (2025-02-09 02:10), 0.6.1 (2025-07-10 04:20), 0.6.2 (2025-08-24 07:10), 0.6.3 (2025-11-19 05:50)
Other packages that cited sps R package
View sps citation profile
Other R packages that sps depends,
imports, suggests or enhances
Complete documentation for sps
Functions, R codes and Examples using
the sps R package
Some associated functions: expected_coverage . inclusion_prob . prop_allocation . sps-package . sps . sps_repweights .
Some associated R codes: expected_coverage.R . inclusion_prob.R . prop_allocation.R . sps-package.R . sps.R . sps_repweights.R . Full sps package functions and examples
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