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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 …
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See results only from otago.ac.nzChanges in secr 4.0
4.0 and additions in 4.1 and 4.2. Version 4.1 fixed some bugs in secr 4.0 (covariate …
WEBThis vignette is a guide for those taking their first steps in fitting spatially explicit capture–recapture (SECR) models with the R package secr 4.6. The Alaskan snowshoe …
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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 …
WEBsecr is primarily for estimating closed population density (density at one point in time), but multi-session data may also be modelled to describe population trend over time. The …
- Specifying a Dynamic Population can simulate a multi-session population with known between-session survival, recruit- sim.popn ment and movement probabilities. The parameter settings to achieve this are passed to sim.popn in its ‘details’ argument. Components of ‘details’ that are relevant to turnover are described below; see for others. sim.popn M...
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session: Session Vector in secr: Spatially Explicit Capture …
WEB6 days ago · For multi-session models the detector array and mask are specified separately for each session. Group models are therefore generally simpler to …
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 …
secr: sharefactorlevels – R documentation – Quantargo
WEBDescription. Factor covariates can give trouble in multi-session models if the levels differ among sessions. A warning is provided by verify.capthist. This function forces factor …
R: Spatially Explicit Capture-Recapture Models
WEBSpatially explicit capture–recapture is a set of methods for studying marked animals distributed in space. Data comprise the locations of detectors (traps, searched areas, …
details: Detail Specification for secr.fit in secr: Spatially Explicit ...
WEBOct 18, 2023 · details$autoini specifies the session number from which to compute starting values (multi-session data only; default 1). From 4.0.0, the character value ‘all’ first …
WEBA lot can go wrong when fitting spatially explicit capture–recapture (SECR) models. This vignette assembles a list of known difficulties with the R package secr 4.6, with …
Estimating the density of a small population of leopards
WEBWe employed multi-session maximum-likelihood SECR modeling to estimate the density of a small population of leopard in a mountainous environment surrounded by deserts in …
Help in fitting a multi-session SECR model in R Studio - Google …
WEBFeb 28, 2021 · I have been trying to follow the "Multi-session models in secr 4.1" document and this is where I am up to: > setwd …
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 …
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 …
R: Spatially Explicit Capture-Recapture
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 …
WEB4.0 and additions in 4.1 and 4.2. Version 4.1 fixed some bugs in secr 4.0 (covariate models were prone to error). Version 4.2 introduced a new mechanism for setting the number of …
**secr** 4.6 - spatially explicit capture--recapture in R'
WEBOct 18, 2023 · This 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 …
secr.fit : Spatially Explicit Capture-Recapture - R Package …
WEB6 days ago · Details. secr.fit fits a SECR model by maximizing the likelihood. The likelihood depends on the detector type ("multi", "proximity", "count", "polygon" etc.) of the traps …
WEBSubmodels for spatially explicit capture–recapture in secr are defined symbolically using the R formula notation. A separate linear predictor is used for each core parameter. Core …
WEB2024-01-15. Inverse prediction for capture–recapture estimation. Simple example. Proxy functions. Multi-session models. Fitting a density gradient. Non-target interference. …
secr-package function - RDocumentation
WEBMar 1, 2024 · Description. Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, …
secr-package : Spatially Explicit Capture-Recapture Models
WEBOct 18, 2023 · Description. Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, …
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