Package: ipsecr 1.4.1

Murray Efford

ipsecr: Spatially Explicit Capture-Recapture by Inverse Prediction

Estimates the density of a spatially distributed animal population sampled with an array of passive detectors, such as traps. Models incorporating distance-dependent detection are fitted by simulation and inverse prediction as proposed by Efford (2004) <doi:10.1111/j.0030-1299.2004.13043.x>.

Authors:Murray Efford [aut, cre]

ipsecr_1.4.1.tar.gz
ipsecr_1.4.1.tar.gz(r-4.5-noble)ipsecr_1.4.1.tar.gz(r-4.4-noble)
ipsecr_1.4.1.tgz(r-4.4-emscripten)ipsecr_1.4.1.tgz(r-4.3-emscripten)
ipsecr.pdf |ipsecr.html
ipsecr/json (API)
NEWS

# Install 'ipsecr' in R:
install.packages('ipsecr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/murrayefford/ipsecr/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • ipsecrdemo - SECR Model Fitted to Demonstration Data

2.00 score 7 scripts 227 downloads 11 exports 35 dependencies

Last updated 11 months agofrom:e7d535b2b2. Checks:OK: 1 WARNING: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-linux-x86_64WARNINGNov 12 2024

Exports:detectionDesignDataipsecr.fitplot3D.IPplotProxyproxy.msproxyfn0proxyfn1rpsvrpsvisimCHsimpop

Dependencies:abindBHclassclassIntcliDBIe1071glueKernSmoothlatticelifecyclemagrittrMASSMatrixmgcvmvtnormnlmeproxyrasterRcppRcppArmadilloRcppEigenRcppNumericalRcppParallelrlangs2secrsfspstringistringrterraunitsvctrswk

ipsecr 1.4 - spatially explicit capture--recapture by inverse prediction

Rendered fromipsecr-vignette.Rmdusingknitr::rmarkdownon Nov 12 2024.

Last update: 2023-01-13
Started: 2022-06-20