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WebMulti-session data and models combine data from several sessions. Sometimes this is merely a convenience, but it also enables the fitting of models with parameter values that …
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WebA SECR model combines a model for the point process (the state model) and a model for distance-dependent detection (the observation model). We obtain an unbiased …
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WebMulti-threading was not applied in secr 4.0 for polygon and transect detector types because these used integration code from the R API (Rdqags). Multi-threading is enabled for …
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secr 4.6 - spatially explicit capture–recapture in R
WebThis document provides an overview of secr 4.6, an R package for spatially explicit capture–recapture analysis (SECR). It includes some background on SECR, an outline …
session: Session Vector in secr: Spatially Explicit Capture …
WebOct 18, 2023 · For multi-session models the detector array and mask are specified separately for each session. Group models are therefore generally simpler to implement. …
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WebDetails. Spatially explicit capture–recapture is a set of methods for studying marked animals distributed in space. Data comprise the locations of detectors (traps, searched areas, …
WebFor multi-session data the displayed histogram is for the current session (see Array tab), unless 'Combine sessions' has been selected on the Options screen. When sessions are combined, the default is to include …
secr-package : Spatially Explicit Capture-Recapture Models
WebOct 18, 2023 · Details. Spatially explicit capture–recapture is a set of methods for studying marked animals distributed in space. Data comprise the locations of detectors (traps, …
secr: subset.capthist – R documentation – Quantargo
WebMulti-session capthists are accepted in secr >= 4.4.0; f should then be a list of factors with one component per session and the same levels in all. To combine (pool) occasions use …
WebDescription. A wrapper for secr::secr.fit. In secr v. 4, secr.fit gains a new option, fastproximity. If TRUE, some data sets are compressed and reconfigured to run much …
R: Session Vector - search.r-project.org
WebFor multi-session models the detector array and mask are specified separately for each session. Group models are therefore generally simpler to implement. On the other hand, …
secr: vignettes/secr-overview.Rmd - R Package Documentation
WebOct 18, 2023 · Spatially explicit capture--recapture (SECR) is a set of methods for modelling animal capture--recapture data collected with an array of 'detectors'. The methods are …
WebThis document provides an overview of secr 4.5, an R package for spatially explicit capture–recapture analysis (SECR). It includes some background on SECR, an outline …
secr.model.detection function - RDocumentation
WebFor spatially explicit capture--recapture estimation of a closed population, we model the detection of individual \(i\) on occasion \(s\) at detector \(k\). Given \(n\) observed …
secr package - RDocumentation
WebDescription. Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching …
ms: Multi-session Objects in secr: Spatially Explicit Capture …
WebOct 18, 2023 · Multi-session Objects. Description. Logical function to distinguish objects that span multiple sessions. Usage. ## Default S3 method: ms(object, ...) ## S3 method …
WebFour real parameters are commonly modelled in secr: D (density), g0, sigma and z. Only the last three real parameters, the ones jointly defining detection probability as a function …
secr.fit : Spatially Explicit Capture-Recapture - R Package …
WebOct 18, 2023 · Details. secr.fit fits a SECR model by maximizing the likelihood. The likelihood depends on the detector type ("multi", "proximity", "count", "polygon" etc.) of …
WebThe fastest way to fit fully session-specific models is to fit each session separately; lapply here applies secr.fit separately to each component of infraCH: fits3 <- …
verify: Check SECR Data in secr: Spatially Explicit Capture …
WebOct 18, 2023 · Description. Check that the data and attributes of an object are internally consistent to avoid crashing functions such as secr.fit. Usage. ## Default S3 method: …
secr.fit function - RDocumentation
WebDescription. Estimate animal population density with data from an array of passive detectors (traps) by fitting a spatial detection model by maximizing the likelihood. Data …
WebIntroduction. In some capture–recapture studies there are additional data from radiotelemetry of a sample of animals. Telemetry fixes provide an unbiased sample of …
secr-package function - RDocumentation
WebMar 1, 2024 · Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching …
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