Package: ef2 2.0.0

Colin Millar

ef2: Modelling Framework for the Estimation of Salmonid Abundance

Estimates capture probabilities and densities from multipass removal (electrofishing) data, following Millar et al. (2016) <doi:10.1016/j.fishres.2016.01.001>. Capture probability is modelled on the logit scale using fixed effects, penalised smooth terms and random effects, for example for between visit and between sample variation. The likelihood is computed using 'RTMB', with random effects integrated out using the Laplace approximation.

Authors:Colin Millar [aut, cre], Rob Fryer [aut], Iain Malcolm [aut], Ross Glover [aut], Marine Scotland Science [cph]

ef2_2.0.0.tar.gz
ef2_2.0.0.zip(r-4.7-any)ef2_2.0.0.zip(r-4.6-any)ef2_2.0.0.zip(r-4.5-any)
ef2_2.0.0.tgz(r-4.6-any)ef2_2.0.0.tgz(r-4.5-any)
ef2_2.0.0.tar.gz(r-4.7-any)ef2_2.0.0.tar.gz(r-4.6-any)
ef2_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ef2/json (API)

# Install 'ef2' in R:
install.packages('ef2', repos = c('https://faskally.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/faskally/ef2/issues

Pkgdown/docs site:https://faskally.github.io

Datasets:
  • ef2_data - Counts of salmon fry and parr from electrofishing.

On CRAN:

Conda:

2.34 score 22 scripts 5 exports 9 dependencies

Last updated from:4c92a7bd61. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK133
source / vignettesOK452
linux-releaseOK317
macos-releaseOK129
macos-oldrelOK107
windows-develOK82
windows-releaseOK327
windows-oldrelOK94
wasm-releaseOK293

Exports:abundanceas.gam2capture_probefp2rw_penalty

Dependencies:latticeMASSMatrixmgcvnlmeRcppRcppEigenRTMBTMB