Package: LHsampling 0.1.0

Eva Schemmel

LHsampling: Functions For Simulating Fish Populations And Estimating Life History Parameters

An individual-based model (IBM) incorporating within-population variability in von Bertalanffy growth, size-dependent natural mortality, and a size-selective fishery to simulate an exploited fish population and catch (harvest). A bootstrap algorithm allows the user to investigate various sampling approaches including sampling strategy (proportional or fixed otolith sampling, POS or FOS, respectively), sample size, supplementation with fishery-independent sampling, and assumptions regarding von Bertalanffy t0 and the relationship between variance of length at age and age. A function to produce plots of the bootstrap sampling results is also provided.

Authors:Eva Schemmel [aut, cre], Erin Bohaboy [aut]

LHsampling_0.1.0.tar.gz
LHsampling_0.1.0.zip(r-4.5)LHsampling_0.1.0.zip(r-4.4)LHsampling_0.1.0.zip(r-4.3)
LHsampling_0.1.0.tgz(r-4.4-any)LHsampling_0.1.0.tgz(r-4.3-any)
LHsampling_0.1.0.tar.gz(r-4.5-noble)LHsampling_0.1.0.tar.gz(r-4.4-noble)
LHsampling_0.1.0.tgz(r-4.4-emscripten)LHsampling_0.1.0.tgz(r-4.3-emscripten)
LHsampling.pdf |LHsampling.html✨
LHsampling/json (API)
NEWS

# Install 'LHsampling' in R:

install.packages('LHsampling', repos = c('https://noaa-fisheries-integrated-toolbox.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/noaa-lhp/lhsampling/issues

Datasets:

On CRAN:

3 exports 3 stars 3.18 score 35 dependencies 6 scripts

Last updated 9 months agofrom:9f3e21da53. Checks:OK: 1 WARNING: 6. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Sep 20 2024
R-4.5-win	WARNING	Sep 20 2024
R-4.5-linux	WARNING	Sep 20 2024
R-4.4-win	WARNING	Sep 20 2024
R-4.4-mac	WARNING	Sep 20 2024
R-4.3-win	WARNING	Sep 20 2024
R-4.3-mac	WARNING	Sep 20 2024