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 …
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
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 …
relationships between daily food choices and human gut microbiome composition remain …
Stereotypic immune system development in newborn children
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 …
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 …
Recognition of mineralization-related geochemical footprints and modeling their multi-
element dispersion patterns are important aspects to consider when “vectoring” toward …
element dispersion patterns are important aspects to consider when “vectoring” toward …
[图书][B] Modeling and analysis of compositional data
Modeling and Analysis of Compositional Data presents a practical and comprehensive
introduction to the analysis of compositional data along with numerous examples to illustrate …
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 …
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 …
mean imputation, only work under highly restrictive conditions, which are often not met in …
An R package for statistical provenance analysis
This paper introduces provenance, a software package within the statistical programming
environment R, which aims to facilitate the visualisation and interpretation of large amounts …
environment R, which aims to facilitate the visualisation and interpretation of large amounts …
Compositional data analysis in time-use epidemiology: what, why, how
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 …
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 …
state-of-the-art ensemble-learning technique, for district-scale mineral potential mapping …