CRAN/E | UPMASK

UPMASK

Unsupervised Photometric Membership Assignment in Stellar Clusters

Installation

About

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.

Key Metrics

Version 1.2
R ≥ 3.0
Published 2019-02-01 1515 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks UPMASK results

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Maintainer

Maintainer

Alberto Krone-Martins

algol@sim.ul.pt

Authors

Alberto Krone-Martins

aut / cre

Andre Moitinho

aut

Eduardo Bezerra

ctb

Leonardo Lima

ctb

Tristan Cantat-Gaudin

ctb

Material

ChangeLog
Reference manual
Package source

In Views

ChemPhys

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

UPMASK archive

Depends

R ≥ 3.0

Imports

parallel
MASS
RSQLite
DBI
dimRed
loe