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Analysis of relative abundances with zeros on environmental gradients: a multinomial regression model
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119003144openalex-snapshot
Modelling and Analysis of Compositional Data
inferredcites →https://doi.org/10.1002/9781119976462.ch1openalex-snapshot
A Short History of Compositional Data Analysis
inferredcites →https://doi.org/10.1002/9781119976462.ch12openalex-snapshot
Calculus of Simplex‐Valued Functions
inferredcites →https://doi.org/10.1007/978-94-009-4109-0openalex-snapshot
The Statistical Analysis of Compositional Data
inferredcites →https://doi.org/10.1007/bf00006028openalex-snapshot
Inferring pH from diatoms: a comparison of old and new calibration methods
inferredcites →https://doi.org/10.1007/bf00891269openalex-snapshot
On criteria for measures of compositional difference
inferredcites →https://doi.org/10.1007/bf00893322openalex-snapshot
Measures of location of compositional data sets
inferredcites →https://doi.org/10.1007/s004770100077openalex-snapshot
Geometric approach to statistical analysis on the simplex
inferredcites →https://doi.org/10.1007/s11004-005-7381-9openalex-snapshot
Groups of Parts and Their Balances in Compositional Data Analysis
inferredcites →https://doi.org/10.1007/s11258-014-0366-3openalex-snapshot
Model-based thinking for community ecology
inferredcites →https://doi.org/10.1007/s13253-015-0243-0openalex-snapshot
Using Species Proportions to Quantify Turnover in Biodiversity
inferredcites →https://doi.org/10.1016/j.cageo.2006.11.017openalex-snapshot
“compositions”: A unified R package to analyze compositional data
inferredcites →https://doi.org/10.1016/j.ecss.2013.11.015openalex-snapshot
A compositional analysis approach to phytoplankton composition in coastal Mediterranean wetlands: Influence of salinity and nutrient availability
inferredcites →https://doi.org/10.1016/j.jtbi.2015.01.002openalex-snapshot
Size change, shape change, and the growth space of a community
inferredcites →https://doi.org/10.1017/cbo9781139164979openalex-snapshot
Mathematical Methods for Physics and Engineering
inferredcites →https://doi.org/10.1023/a:1018514226420openalex-snapshot
Natural variability of benthic species composition in the Delaware Bay
inferredcites →https://doi.org/10.1023/a:1023818214614openalex-snapshot
Isometric Logratio Transformations for Compositional Data Analysis
inferredcites →https://doi.org/10.1080/08927019809378348openalex-snapshot
Inhibition and facilitation of settlement of epifaunal marine invertebrate larvae by microbial biofilm cues
inferredcites →https://doi.org/10.1093/biomet/49.1-2.65openalex-snapshot
On the Compound Multinomial Distribution, the Multivariate β- Distribution, and Correlations Among Proportions
inferredcites →https://doi.org/10.1111/1467-9876.00275openalex-snapshot
Biplots of Compositional Data
inferredcites →https://doi.org/10.1111/2041-210x.12776openalex-snapshot
‘Size’ and ‘shape’ in the measurement of multivariate proximity
inferredcites →https://doi.org/10.1111/biom.12079openalex-snapshot
A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis
inferredcites →https://doi.org/10.1111/ele.12757openalex-snapshot
How to make more out of community data? A conceptual framework and its implementation as models and software
inferredcites →https://doi.org/10.1111/j.2041-210x.2011.00127.xopenalex-snapshot
Distance‐based multivariate analyses confound location and dispersion effects
inferredcites →https://doi.org/10.1111/j.2041-210x.2012.00190.xopenalex-snapshot
mvabund– an R package for model‐based analysis of multivariate abundance data
inferredcites →https://doi.org/10.1128/msystems.00162-16openalex-snapshot
Balance Trees Reveal Microbial Niche Differentiation
inferredcites →https://doi.org/10.1146/annurev.ecolsys.27.1.477openalex-snapshot
RECRUITMENT AND THE LOCAL DYNAMICS OF OPEN MARINE POPULATIONS
inferredcites →https://doi.org/10.1198/016214501753381850openalex-snapshot
Statistical Interpretation of Species Composition
inferredcites →https://doi.org/10.1201/9781003453420-2openalex-snapshot
MCMC Using Hamiltonian Dynamics
inferredcites →https://doi.org/10.1214/lnms/1215463786openalex-snapshot
Principles of compositional data analysis
inferredcites →https://doi.org/10.18637/jss.v033.i01openalex-snapshot
Regularization Paths for Generalized Linear Models via Coordinate Descent
inferredcites →https://doi.org/10.18637/jss.v076.i01openalex-snapshot
Stan : A Probabilistic Programming Language
inferredcites →https://doi.org/10.1890/0012-9658(1997)078[0929:cdicet]2.0.co;2openalex-snapshot
COMPOSITIONAL DATA IN COMMUNITY ECOLOGY: THE PARADIGM OR PERIL OF PROPORTIONS?
inferredcites →https://doi.org/10.1890/12-0795.1openalex-snapshot
Competition in benthic marine invertebrates: the unrecognized role of exploitative competition for oxygen
inferredcites →https://doi.org/10.1890/14-0665.1openalex-snapshot
Limiting resources in sessile systems: food enhances diversity and growth of suspension feeders despite available space
inferredcites →https://doi.org/10.1890/14-0941.1openalex-snapshot
Stability of Caribbean coral communities quantified by long‐term monitoring and autoregression models
inferredcites →https://doi.org/10.1899/11-026.1openalex-snapshot
Multinomial regression for analyzing macroinvertebrate assemblage composition data
inferredcites →https://doi.org/10.2307/1940179openalex-snapshot
Partialling out the Spatial Component of Ecological Variation
inferredcites →https://doi.org/10.2307/1940242openalex-snapshot
Recruitment Limitation, Mortality, and Population Regulation in Open Systems: A Case Study
inferredcites →https://doi.org/10.2475/ajs.263.4.313openalex-snapshot
Geochronology of pluvial Lake Cochise, southern Arizona; [Part] 3, Pollen statistics and Pleistocene metastability
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3389/fmicb.2017.02224openalex-snapshot
Microbiome Datasets Are Compositional: And This Is Not Optional
inferredcites →https://doi.org/10.4282/sosj.20.51openalex-snapshot
The effects of environmental light condition on strobilation in Aurelia aurita polyps
inferredcites →https://doi.org/10.7554/elife.21887openalex-snapshot
A phylogenetic transform enhances analysis of compositional microbiota data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2023.130603openalex-snapshot
Riverine microbial community assembly with watercourse distance–decay patterns in the north–south transitional zone of China
inferred← citeshttps://doi.org/10.1016/j.quascirev.2020.106458openalex-snapshot
Effects of human land use and temperature on community dynamics in European forests
inferred← citeshttps://doi.org/10.1093/nargab/lqaa050openalex-snapshot
Model-based joint visualization of multiple compositional omics datasets
inferred← citeshttps://doi.org/10.1111/1365-2656.13913openalex-snapshot
The impact of the COVID ‐19 lockdowns on wildlife–vehicle collisions in the UK
inferred← citeshttps://doi.org/10.1111/1462-2920.15666openalex-snapshot
Seasonal environmental variability drives microdiversity within a coastal Synechococcus population
inferred← citeshttps://doi.org/10.1111/gcb.15059openalex-snapshot
Forecasting intensifying disturbance effects on coral reefs
inferred← citeshttps://doi.org/10.21203/rs.3.rs-185980/v1openalex-snapshot
Gut Microbiome Dysbiosis is Associated with Increased Mortality following Solid Organ Transplantation
inferred← citeshttps://doi.org/10.70675/23084cf2z91e5z4254zb03dz50d4b7386c04openalex-snapshot
Advanced Statistical Approaches for the Global Analysis of Influenza Virus Circulation
inferred← citeshttps://doi.org/10.7287/peerj.12763v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Devil in the details: how can we avoid potential pitfalls of CATS regression when our data do not follow a Poisson distribution? (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj.12763v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Devil in the details: how can we avoid potential pitfalls of CATS regression when our data do not follow a Poisson distribution? (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj.14846v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Negative and positive interspecific interactions involving jellyfish polyps in marine sessile communities (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj.14846v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Negative and positive interspecific interactions involving jellyfish polyps in marine sessile communities (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj.14846v0.2/reviews/1openalex-snapshot
Peer Review #1 of "Negative and positive interspecific interactions involving jellyfish polyps in marine sessile communities (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj.14846v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Negative and positive interspecific interactions involving jellyfish polyps in marine sessile communities (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj.12763openalex-snapshot
Devil in the details: how can we avoid potential pitfalls of CATS regression when our data do not follow a Poisson distribution?
inferred← citeshttps://doi.org/10.7717/peerj.14846openalex-snapshot
Negative and positive interspecific interactions involving jellyfish polyps in marine sessile communities
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