Package: secrdesign 2.9.3

secrdesign: Sampling Design for Spatially Explicit Capture-Recapture

Tools for designing spatially explicit capture-recapture studies of animal populations. This is primarily a simulation manager for package 'secr'. Extensions in version 2.5.0 include costing and evaluation of detector spacing.

Authors:Murray Efford [aut, cre], Ian Durbach [ctb]

secrdesign_2.9.3.tar.gz
secrdesign_2.9.3.zip(r-4.5)secrdesign_2.9.3.zip(r-4.4)secrdesign_2.9.3.zip(r-4.3)
secrdesign_2.9.3.tgz(r-4.5-x86_64)secrdesign_2.9.3.tgz(r-4.5-arm64)secrdesign_2.9.3.tgz(r-4.4-x86_64)secrdesign_2.9.3.tgz(r-4.4-arm64)secrdesign_2.9.3.tgz(r-4.3-x86_64)secrdesign_2.9.3.tgz(r-4.3-arm64)
secrdesign_2.9.3.tar.gz(r-4.5-noble)secrdesign_2.9.3.tar.gz(r-4.4-noble)
secrdesign_2.9.3.tgz(r-4.4-emscripten)secrdesign_2.9.3.tgz(r-4.3-emscripten)
secrdesign.pdf |secrdesign.html
secrdesign/json (API)
NEWS

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

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

4.35 score 56 scripts 361 downloads 1 mentions 30 exports 39 dependencies

Last updated 5 days agofrom:d736a9133c. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 27 2025
R-4.5-win-x86_64OKMar 27 2025
R-4.5-mac-x86_64OKMar 27 2025
R-4.5-mac-aarch64OKMar 27 2025
R-4.5-linux-x86_64OKMar 27 2025
R-4.4-win-x86_64OKMar 27 2025
R-4.4-mac-x86_64OKMar 27 2025
R-4.4-mac-aarch64OKMar 27 2025
R-4.4-linux-x86_64OKMar 27 2025
R-4.3-win-x86_64OKMar 27 2025
R-4.3-mac-x86_64OKMar 27 2025
R-4.3-mac-aarch64OKMar 27 2025

Exports:compactSamplecostingcountEn2EnrmestimateArrayestimateSummaryexpand.argfind.paramfind.statsfit.modelsGAoptimGApenfngetdetectparheaderLambdamake.arraymake.scenariosminnrRSEminsimRSEoptimalSpacingoutputtype<-Qpmrun.scenariossaturationscenariosFromStatisticsscenarioSummaryselect.statstransformOutputvalidate

Dependencies:abindBHbigmemorybigmemory.sriclassclassIntcliDBIe1071glueKernSmoothkofnGAlatticelifecyclemagrittrMASSMatrixmgcvmvtnormnlmeproxyrasterRcppRcppArmadilloRcppEigenRcppNumericalRcppParallelrlangs2secrsfspstringistringrterraunitsuuidvctrswk

Readme and manuals

Help Manual

Help pageTopics
Spatially Explicit Capture-Recapture Study Designsecrdesign-package secrdesign
Cost of SECR designcosting
Extract Summariescoef.summary count count.summary predict.summary
Direct summary of estimate tablesestimateArray estimateSummary
Expand Argument Listexpand.arg
SECR detector placement by maximisation of a simple criterionGAoptim
Ballpark Detection Parametersgetdetectpar
Internal FunctionscompactSample GApenfn outputtype outputtype<-
Expected DetectionsEn2 Enrm Lambda minnrRSE Qpm
Re-cast Simulated Statistical Output as Arraymake.array
Construct Scenario Data Framemake.scenarios
Optimal Spacing by SimulationminsimRSE minsimRSE.optimalSpacing
Optimal Detector SpacingoptimalSpacing
Plot and print methods for optimalSpacing objectplot.optimalSpacing print.optimalSpacing
Extract Estimates From Fitted Modelscoef coef.fittedmodels derived derived.fittedmodels predict predict.fittedmodels region.N region.N.fittedmodels
Combine Simulation Outputc.estimatetables c.selectedstatistics rbind.estimatetables rbind.selectedstatistics
Simulate Sampling Designsfit.models run.scenarios
Detector saturationsaturation
Make Scenarios to Match Capture StatisticsscenariosFromStatistics
Summary of ScenariosscenarioSummary
Select Statistics to Summarizefind.param find.stats select.stats
Generic Methods for secrdesign Objectsheader plot.selectedstatistics summary.estimatetables summary.rawdata summary.secrdesign summary.selectedstatistics
Transform Simulation OutputtransformOutput
Reject Implausible Statisticsvalidate