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samplr  

Compare Human Performance to Sampling Algorithms
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("samplr", "1.0.1")



Attach the package and use:
library("samplr")
Maintained by
Lucas Castillo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-08-01
Latest Update: 2024-08-01
Description:
Understand human performance from the perspective of sampling, both looking at how people generate samples and how people use the samples they have generated. A longer overview and other resources can be found at <https://sampling.warwick.ac.uk>.
How to cite:
Lucas Castillo (2024). samplr: Compare Human Performance to Sampling Algorithms. R package version 1.0.1, https://cran.r-project.org/web/packages/samplr. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2024-08-01 11:00)
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Complete documentation for samplr
Functions, R codes and Examples using the samplr R package
Full samplr package functions and examples
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