Variable selection in compositional data analysis using pairwise logratios

DOI10.1007/s11004-018-9754-xzbMath1421.86020OpenAlexW2835402366WikidataQ129551581 ScholiaQ129551581MaRDI QIDQ2325287

Michael J. Greenacre

Publication date: 9 September 2019

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-018-9754-x

zbMATH Keywords

ratiosmultivariate analysisvariable selectioncompositional datalogratio transformationunivariate statisticslogratio analysislogratio distancesubcompositional coherence

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Geostatistics (86A32)

Related Items (9)

Three approaches to supervised learning for compositional data with pairwise logratios ⋮ Extending compositional data analysis from a graph signal processing perspective ⋮ Aitchison's compositional data analysis 40 years on: a reappraisal ⋮ A review of compositional data analysis and recent advances ⋮ Classical and robust regression analysis with compositional data ⋮ Rejoinder on ``Compositional data: the sample space and its structure ⋮ Weighted symmetric pivot coordinates for compositional data with geochemical applications ⋮ Analysing pairwise logratios revisited ⋮ Comments on ``Compositional data: the sample space and its structure

Uses Software

• R
• vegan

Cites Work

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