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UPMASK  

Unsupervised Photometric Membership Assignment in Stellar Clusters
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("UPMASK", "1.2")



Attach the package and use:
library("UPMASK")
Maintained by
Alberto Krone-Martins
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-09-16
Latest Update: 2019-02-01
Description:
An implementation of the UPMASK method for performing membership assignment in stellar clusters in R. It is prepared to use photometry and spatial positions, but it can take into account other types of data. The method is able to take into account arbitrary error models, and it is unsupervised, data-driven, physical-model-free and relies on as few assumptions as possible. The approach followed for membership assessment is based on an iterative process, dimensionality reduction, a clustering algorithm and a kernel density estimation.
How to cite:
Alberto Krone-Martins (2014). UPMASK: Unsupervised Photometric Membership Assignment in Stellar Clusters. R package version 1.2, https://cran.r-project.org/web/packages/UPMASK. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0 (2014-09-16 12:28), 1.1 (2017-04-03 22:19), 1.2 (2019-02-01 18:43)
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