Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308201724> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4308201724 abstract "ABSTRACT Analysis of co-occurrence data in ecology and biogeography with traditional indices has led to many problems. In our recent study (Mainali, Slud, Singer, & Fagan, 2022), we revealed the source of the problem that makes the traditional indices fundamentally flawed and completely unreliable, and we further developed a novel metric of association, alpha, with complete formulation of the null distribution for estimating the mechanism of affinity. We also developed the maximum likelihood estimate (MLE) of alpha in our prior study. Here, we introduce the CooccurrenceAffinity R package that computes alpha MLE. We provide functions to perform the analysis based on a 2×2 contingency table of occurrence/co-occurrence counts as well as a m×n presence-absence matrix (e.g., species by site matrix). The flexibility of the function allows a user to compute the alpha MLE for entity pairs on matrix columns based on presence-absence states recorded in the matrix rows, or for entities on matrix rows based on presence-absence recorded in columns. We also provide functions for plotting the computed indices. As novel components of this software paper not reported in the original study, we present theoretical discussions about median interval and four types of confidence intervals; we further develop functions (a) to compute those intervals, (b) to evaluate their true coverage probability of enclosing the population parameter, and (c) to generate figures. CooccurrenceAffinity is a practical and efficient R package with user-friendly functions for end-to-end analysis and plotting of co-occurrence data in various formats, making it possible to compute the recently developed metric of alpha MLE as well as its median and confidence intervals introduced in this paper. The package supplements its main output of the novel metric of association with the three most common traditional indices of association in co-occurrence data: Jaccard, Sørensen–Dice, and Simpson." @default.
- W4308201724 created "2022-11-09" @default.
- W4308201724 creator A5038457625 @default.
- W4308201724 creator A5063814743 @default.
- W4308201724 date "2022-11-03" @default.
- W4308201724 modified "2023-09-30" @default.
- W4308201724 title "CooccurrenceAffinity: An R package for computing a novel metric of affinity in co-occurrence data that corrects for pervasive errors in traditional indices" @default.
- W4308201724 cites W1514947113 @default.
- W4308201724 cites W1650618707 @default.
- W4308201724 cites W1980903590 @default.
- W4308201724 cites W1987866119 @default.
- W4308201724 cites W2000955570 @default.
- W4308201724 cites W2058585360 @default.
- W4308201724 cites W2062350075 @default.
- W4308201724 cites W2101571519 @default.
- W4308201724 cites W2106578604 @default.
- W4308201724 cites W2137591261 @default.
- W4308201724 cites W2141049972 @default.
- W4308201724 cites W2541820485 @default.
- W4308201724 cites W2809898918 @default.
- W4308201724 cites W2980577289 @default.
- W4308201724 doi "https://doi.org/10.1101/2022.11.01.514801" @default.
- W4308201724 hasPublicationYear "2022" @default.
- W4308201724 type Work @default.
- W4308201724 citedByCount "0" @default.
- W4308201724 crossrefType "posted-content" @default.
- W4308201724 hasAuthorship W4308201724A5038457625 @default.
- W4308201724 hasAuthorship W4308201724A5063814743 @default.
- W4308201724 hasBestOaLocation W43082017241 @default.
- W4308201724 hasConcept C105795698 @default.
- W4308201724 hasConcept C106487976 @default.
- W4308201724 hasConcept C11413529 @default.
- W4308201724 hasConcept C114614502 @default.
- W4308201724 hasConcept C124101348 @default.
- W4308201724 hasConcept C127413603 @default.
- W4308201724 hasConcept C135598885 @default.
- W4308201724 hasConcept C14036430 @default.
- W4308201724 hasConcept C144024400 @default.
- W4308201724 hasConcept C149923435 @default.
- W4308201724 hasConcept C159985019 @default.
- W4308201724 hasConcept C176217482 @default.
- W4308201724 hasConcept C192562407 @default.
- W4308201724 hasConcept C199360897 @default.
- W4308201724 hasConcept C203763787 @default.
- W4308201724 hasConcept C21547014 @default.
- W4308201724 hasConcept C2777904410 @default.
- W4308201724 hasConcept C2778029271 @default.
- W4308201724 hasConcept C2780598303 @default.
- W4308201724 hasConcept C2908647359 @default.
- W4308201724 hasConcept C33923547 @default.
- W4308201724 hasConcept C36382193 @default.
- W4308201724 hasConcept C41008148 @default.
- W4308201724 hasConcept C45235069 @default.
- W4308201724 hasConcept C78458016 @default.
- W4308201724 hasConcept C86803240 @default.
- W4308201724 hasConcept C91998498 @default.
- W4308201724 hasConceptScore W4308201724C105795698 @default.
- W4308201724 hasConceptScore W4308201724C106487976 @default.
- W4308201724 hasConceptScore W4308201724C11413529 @default.
- W4308201724 hasConceptScore W4308201724C114614502 @default.
- W4308201724 hasConceptScore W4308201724C124101348 @default.
- W4308201724 hasConceptScore W4308201724C127413603 @default.
- W4308201724 hasConceptScore W4308201724C135598885 @default.
- W4308201724 hasConceptScore W4308201724C14036430 @default.
- W4308201724 hasConceptScore W4308201724C144024400 @default.
- W4308201724 hasConceptScore W4308201724C149923435 @default.
- W4308201724 hasConceptScore W4308201724C159985019 @default.
- W4308201724 hasConceptScore W4308201724C176217482 @default.
- W4308201724 hasConceptScore W4308201724C192562407 @default.
- W4308201724 hasConceptScore W4308201724C199360897 @default.
- W4308201724 hasConceptScore W4308201724C203763787 @default.
- W4308201724 hasConceptScore W4308201724C21547014 @default.
- W4308201724 hasConceptScore W4308201724C2777904410 @default.
- W4308201724 hasConceptScore W4308201724C2778029271 @default.
- W4308201724 hasConceptScore W4308201724C2780598303 @default.
- W4308201724 hasConceptScore W4308201724C2908647359 @default.
- W4308201724 hasConceptScore W4308201724C33923547 @default.
- W4308201724 hasConceptScore W4308201724C36382193 @default.
- W4308201724 hasConceptScore W4308201724C41008148 @default.
- W4308201724 hasConceptScore W4308201724C45235069 @default.
- W4308201724 hasConceptScore W4308201724C78458016 @default.
- W4308201724 hasConceptScore W4308201724C86803240 @default.
- W4308201724 hasConceptScore W4308201724C91998498 @default.
- W4308201724 hasLocation W43082017241 @default.
- W4308201724 hasOpenAccess W4308201724 @default.
- W4308201724 hasPrimaryLocation W43082017241 @default.
- W4308201724 hasRelatedWork W1494658440 @default.
- W4308201724 hasRelatedWork W2000596379 @default.
- W4308201724 hasRelatedWork W2035831984 @default.
- W4308201724 hasRelatedWork W2281029567 @default.
- W4308201724 hasRelatedWork W2317249322 @default.
- W4308201724 hasRelatedWork W3021969515 @default.
- W4308201724 hasRelatedWork W3122529031 @default.
- W4308201724 hasRelatedWork W3201995212 @default.
- W4308201724 hasRelatedWork W4248638510 @default.
- W4308201724 hasRelatedWork W3123205090 @default.
- W4308201724 isParatext "false" @default.
- W4308201724 isRetracted "false" @default.
- W4308201724 workType "article" @default.