Package: BTSPAS 2024.5.9

BTSPAS: Bayesian Time-Stratified Population Analysis

Provides advanced Bayesian methods to estimate abundance and run-timing from temporally-stratified Petersen mark-recapture experiments. Methods include hierarchical modelling of the capture probabilities and spline smoothing of the daily run size. Theory described in Bonner and Schwarz (2011) <doi:10.1111/j.1541-0420.2011.01599.x>.

Authors:Carl J Schwarz <[email protected]> and Simon J Bonner <[email protected]>

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BTSPAS/json (API)
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Peer review:

Bug tracker:https://github.com/cschwarz-stat-sfu-ca/btspas/issues

On CRAN:

13 exports 1 stars 1.35 score 50 dependencies 1 dependents 29 scripts 581 downloads

Last updated 4 months agofrom:a575d8b236. Checks:OK: 7. Indexed: yes.

Exports:expitlogitRunTimeSimplePetersenTestIfPoolTimeStratPetersenDiagError_fitTimeStratPetersenDiagErrorWHChinook_fitTimeStratPetersenDiagErrorWHChinook2_fitTimeStratPetersenDiagErrorWHSteel_fitTimeStratPetersenNonDiagError_fitTimeStratPetersenNonDiagErrorNP_fitTimeStratPetersenNonDiagErrorNPMarkAvail_fitTimeToTargetRunSize

Dependencies:abindactuarbootclicodacolorspacecpp11data.tableexpintfansifarverggforceggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpolyclipR2jagsR2WinBUGSR6RColorBrewerRcppRcppEigenreshape2rjagsrlangscalesstringistringrsystemfontstibbletidyselecttweenrutf8vctrsviridisLitewithr