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WaveSampling  

Weakly Associated Vectors (WAVE) Sampling
View on CRAN: Click here


Download and install WaveSampling package within the R console
Install from CRAN:
install.packages("WaveSampling")

Install from Github:
library("remotes")
install_github("cran/WaveSampling")

Install by package version:
library("remotes")
install_version("WaveSampling", "0.1.4")



Attach the package and use:
library("WaveSampling")
Maintained by
Raphaël Jauslin
[Scholar Profile | Author Map]
First Published: 2019-10-16
Latest Update: 2022-05-02
Description:
Spatial data are generally auto-correlated, meaning that if two units selected are close to each other, then it is likely that they share the same properties. For this reason, when sampling in the population it is often needed that the sample is well spread over space. A new method to draw a sample from a population with spatial coordinates is proposed. This method is called wave (Weakly Associated Vectors) sampling. It uses the less correlated vector to a spatial weights matrix to update the inclusion probabilities vector into a sample. For more details see Raphaël Jauslin and Yves Tillé (2019) <doi:10.1007/s13253-020-00407-1>.
How to cite:
Raphaël Jauslin (2019). WaveSampling: Weakly Associated Vectors (WAVE) Sampling. R package version 0.1.4, https://cran.r-project.org/web/packages/WaveSampling. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.1.0 (2019-10-16 14:00), 0.1.1 (2020-01-30 13:00), 0.1.3 (2022-05-02 19:42)
Other packages that cited WaveSampling R package
View WaveSampling citation profile
Other R packages that WaveSampling depends, imports, suggests or enhances
Complete documentation for WaveSampling
Functions, R codes and Examples using the WaveSampling R package
Some associated functions: IB . distUnitk . sb_vk . varHAJ . wave . wpik . wpikInv . 
Some associated R codes: RcppExports.R . varHR.R .  Full WaveSampling package functions and examples
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