Compositional data analysis

M Greenacre - Annual Review of Statistics and its Application, 2021 - annualreviews.org
Compositional data are nonnegative data carrying relative, rather than absolute, information—
these are often data with a constant-sum constraint on the sample values, for example …

[HTML][HTML] Daily sampling reveals personalized diet-microbiome associations in humans

AJ Johnson, P Vangay, GA Al-Ghalith, BM Hillmann… - Cell host & …, 2019 - cell.com
Diet is a key determinant of human gut microbiome variation. However, the fine-scale
relationships between daily food choices and human gut microbiome composition remain …

Stereotypic immune system development in newborn children

A Olin, E Henckel, Y Chen, T Lakshmikanth, C Pou… - Cell, 2018 - cell.com
Epidemiological data suggest that early life exposures are key determinants of immune-
mediated disease later in life. Young children are also particularly susceptible to infections …

Stream sediment geochemical data analysis for district-scale mineral exploration targeting: Measuring the performance of the spatial U-statistic and CA fractal …

S Ghasemzadeh, A Maghsoudi, M Yousefi… - Ore Geology …, 2019 - Elsevier
Recognition of mineralization-related geochemical footprints and modeling their multi-
element dispersion patterns are important aspects to consider when “vectoring” toward …

[图书][B] Modeling and analysis of compositional data

V Pawlowsky-Glahn, JJ Egozcue, R Tolosana-Delgado - 2015 - books.google.com
Modeling and Analysis of Compositional Data presents a practical and comprehensive
introduction to the analysis of compositional data along with numerous examples to illustrate …

zCompositions—R package for multivariate imputation of left-censored data under a compositional approach

J Palarea-Albaladejo, JA Martín-Fernández - Chemometrics and Intelligent …, 2015 - Elsevier
Abstract zCompositions is an R package for the imputation of left-censored data under a
compositional approach. It is pertinent when the analyst assumes that the relevant …

[图书][B] Flexible imputation of missing data

S Van Buuren - 2018 - books.google.com
Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or
mean imputation, only work under highly restrictive conditions, which are often not met in …

An R package for statistical provenance analysis

P Vermeesch, A Resentini, E Garzanti - Sedimentary Geology, 2016 - Elsevier
This paper introduces provenance, a software package within the statistical programming
environment R, which aims to facilitate the visualisation and interpretation of large amounts …

Compositional data analysis in time-use epidemiology: what, why, how

D Dumuid, Ž Pedišić, J Palarea-Albaladejo… - International journal of …, 2020 - mdpi.com
In recent years, the focus of activity behavior research has shifted away from univariate
paradigms (eg, physical activity, sedentary behavior and sleep) to a 24-h time-use paradigm …

A data augmentation approach to XGboost-based mineral potential mapping: an example of carbonate-hosted ZnPb mineral systems of Western Iran

M Parsa - Journal of Geochemical Exploration, 2021 - Elsevier
This study intends to showcase the application of Extreme Gradient boosting (XGboost), a
state-of-the-art ensemble-learning technique, for district-scale mineral potential mapping …