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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", "0.6.0")
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
10.32614/CRAN.package.sps . https://github.com/marberts/sps/issues . https://marberts.github.io/sps/ . https://github.com/marberts/sps . sps citation info . sps results . sps.pdf . sps_0.6.0.tar.gz . sps_0.6.0.zip . sps_0.6.0.zip . sps_0.6.0.zip . sps_0.6.0.tgz . sps_0.6.0.tgz . sps_0.6.0.tgz . sps_0.6.0.tgz . sps_0.6.0.tgz . sps_0.6.0.tgz . sps archive . https://CRAN.R-project.org/package=sps .
First Published: 2021-08-20
Latest Update: 2024-02-23
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 0.6.0, https://cran.r-project.org/web/packages/sps. Accessed 29 Mar. 2025.
Previous versions and publish date:
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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