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datanugget  

Create, Optimize, and Refine Data Nuggets
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("datanugget", "1.5.0")



Attach the package and use:
library("datanugget")
Maintained by
Yajie Duan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-24
Latest Update: 2024-09-14
Description:
Creating, and refining data nuggets. Data nuggets reduce a large dataset into a small collection of nuggets of data, each containing a center (location), weight (importance), and scale (variability) parameter. Data nugget centers are created by choosing observations in the dataset which are as equally spaced apart as possible. Data nugget weights are created by counting the number observations closest to a given data nugget
How to cite:
Yajie Duan (2020). datanugget: Create, Optimize, and Refine Data Nuggets. R package version 1.5.0, https://cran.r-project.org/web/packages/datanugget. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-08-21 08:50), 1.0.0 (2020-01-24 18:30), 1.2.1 (2023-05-02 10:10), 1.2.2 (2023-10-26 09:30), 1.2.4 (2023-11-28 23:20), 1.3.0 (2024-07-30 00:00), 1.3.1 (2024-09-14 18:30), 1.4.0 (2025-12-04 10:10)
Other packages that cited datanugget R package
View datanugget citation profile
Other R packages that datanugget depends, imports, suggests or enhances
Complete documentation for datanugget
Functions, R codes and Examples using the datanugget R package
Some associated functions: AC . create.DN . create.DNcenters . datanugget-package . refine.DN . 
Some associated R codes: AC.R . createDN.R . createDNcenters.R . refineDN.R .  Full datanugget package functions and examples
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