The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
robCompositions: An R‐package for Robust Statistical Analysis of Compositional Data
Abstract
This chapter contains sections titled: General Information on the R-package robCompositions Expressing Compositional Data in Coordinates Multivariate Statistical Methods for Compositional Data Containing Outliers Robust Imputation of Missing Values Summary References
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
The Statistical Analysis of Compositional Data
Aitchison, J. (1986) · doi:10.1007/978-94-009-4109-0 · Cited by 4,383
The Statistical Analysis of Compositional Data
Piepel, G. F. (1988) · Technometrics · doi:10.1080/00401706.1988.10488337 · Cited by 3,418
A Fast Algorithm for the Minimum Covariance Determinant Estimator
Rousseeuw, P. J., & Driessen, K. V. (1999) · Technometrics · doi:10.1080/00401706.1999.10485670 · Cited by 2,708
Isometric Logratio Transformations for Compositional Data Analysis
Egozcue, J. J., Pawlowsky-Glahn, V., Mateu-Figueras, G., & Barceló-Vidal, C. (2003) · Mathematical Geology · doi:10.1023/a:1023818214614 · Cited by 1,935
Robust Statistics: Theory and Methods
Maronna, R. A., Martin, R. D., & Yohai, V. J. (2006) · Wiley Series in Probability and Statistics · doi:10.1002/0470010940 · Cited by 1,655
Unmasking Multivariate Outliers and Leverage Points
Rousseeuw, P. J., & van Zomeren, B. C. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10474920 · Cited by 1,508
Aitchison, J., & Greenacre, M. (2002) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/1467-9876.00275 · Cited by 711
Principal component analysis for compositional data with outliers
Filzmoser, P., Hron, K., & Reimann, C. (2009) · Environmetrics · doi:10.1002/env.966 · Cited by 548
Self-citationImputation of missing values for compositional data using classical and robust methods
Hron, K., Templ, M., & Filzmoser, P. (2010) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2009.11.023 · Cited by 301
Self-citation
Cited by
Palarea-Albaladejo, J., & Martín-Fernández, J. A. (2015) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2015.02.019 · Cited by 965
Daily sampling reveals personalized diet-microbiome associations in humans
Johnson, A. J., Vangay, P., Al-Ghalith, G. A., Hillmann, B. M., Ward, T. L., Shields-Cutler, R. R., Kim, A. D., Shmagel, A. K., Syed, A. N., Walter, J., et al. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.05.005 · Cited by 742
Stereotypic Immune System Development in Newborn Children
Olin, A., Henckel, E., Chen, Y., Lakshmikanth, T., Pou, C., Mikes, J., Gustafsson, A., Bernhardsson, A. K., Zhang, C., Bohlin, K., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.045 · Cited by 696
Univariate statistical analysis of environmental (compositional) data: Problems and possibilities
Filzmoser, P., Hron, K., & Reimann, C. (2009) · Science of The Total Environment · doi:10.1016/j.scitotenv.2009.08.008 · Cited by 447
Self-citationBayesian-multiplicative treatment of count zeros in compositional data sets
Martín-Fernández, J.-A., Hron, K., Templ, M., Filzmoser, P., & Palarea-Albaladejo, J. (2015) · Statistical Modelling · doi:10.1177/1471082x14535524 · Cited by 263
Self-citation
Metadata
- Authors
- Templ, M., Hron, K., & Filzmoser, P.
- Venue
- Compositional Data Analysis
- Publisher
- Wiley
- Published
- 2011-07-28
- Pages
- 341-355
- OpenAlex
- W1598920400
- Cited by
- 372
- References
- 15
- Type
- other
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: robCompositions: An R‐package for Robust Statistical Analysis of Compositional Data. https://app.cochat.ai/papers/10.1002/9781119976462.ch25
- The paper
- Templ, M., Hron, K., & Filzmoser, P. (2011). robCompositions: An R‐package for Robust Statistical Analysis of Compositional Data. Compositional Data Analysis. https://doi.org/10.1002/9781119976462.ch25
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
