Package: rFAMS 0.0.3.9000

Jason C. Doll

rFAMS: Fisheries Analysis and Modeling Simulator

Simulates the dynamics of exploited fish populations using the Jones modification of the Beverton-Holt equilibrium yield equation to compute yield-per-recruit and dynamic pool models (Ricker 1975) <https://publications.gc.ca/site/eng/480738/publication.html>. Allows users to evaluate minimum, slot, and inverted length limits on exploited fisheries using specified life history parameters. Users can simulate population under a variety of conditional fishing mortality and conditional natural mortality. Calculated quantities include number of fish harvested and dying naturally, mean weight and length of fish harvested, number of fish that reach specified lengths of interest, total number of fish and biomass in the population, and stock density indices.

Authors:Jason C. Doll [aut, cre], Derek H. Ogle [aut]

rFAMS_0.0.3.9000.tar.gz
rFAMS_0.0.3.9000.zip(r-4.7-any)rFAMS_0.0.3.9000.zip(r-4.6-any)rFAMS_0.0.3.9000.zip(r-4.5-any)
rFAMS_0.0.3.9000.tgz(r-4.6-any)rFAMS_0.0.3.9000.tgz(r-4.5-any)
rFAMS_0.0.3.9000.tar.gz(r-4.7-any)rFAMS_0.0.3.9000.tar.gz(r-4.6-any)
rFAMS_0.0.3.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rFAMS/json (API)

# Install 'rFAMS' in R:

install.packages('rFAMS', repos = c('https://fishr-core-team.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fishr-core-team/rfams/issues

On CRAN:

4.04 score 1 stars 418 downloads 7 exports 87 dependencies

Last updated from:69e71668bc. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	170
source / vignettes	OK	284
linux-release-x86_64	OK	170
macos-release-arm64	OK	128
macos-oldrel-arm64	OK	73
windows-devel	OK	87
windows-release	OK	107
windows-oldrel	OK	112
wasm-release	OK	141

Exports:dpmBH_MinLL est_natmort genRecruits makeLH seeMorts yprBH_MinLL yprBH_SlotLL

Dependencies:abind backports boot broom ca car carData cli cluster codetools colorspace corrr cowplot cpp11 Deriv doBy dplyr dunn.test farver FlexParamCurve foreach forecast Formula fracdiff FSA gclus generics ggplot2 ggrepel glue gtable isoband iterators labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv minqa modelr nlme nloptr nnet numDeriv pbkrtest permute pillar pkgconfig plotrix purrr qap quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas registry rlang S7 scales scrutiny seriation SparseM stringi stringr survival tibble tidyr tidyselect timeDate TSP urca utf8 vctrs vegan viridisLite withr zoo

Help page	Topics
Simulate expected yield under minimum length regulations using the Dynamic Pool model for a range of input parameters	dpmBH_MinLL
Compute meta-analytic estimates of instantaneous and conditional natural mortality	est_natmort
Generate a vector of number of recruits for the dynamic pool model.	genRecruits print.GENREC
Make a list or vector of life history parameters for yield-per-recruit analyses.	makeLH print.MAKELH
Convert vectors of conditional fishing and natural mortality rates to other mortality rates.	seeMorts summary.SEEMORTS
Simulate expected yield under minimum length regulations using the Beverton-Holt Yield-per-Recruit model for a range of input parameters	yprBH_MinLL
Simulate expected yield using below slot limit regulations using the Beverton-Holt Yield-per-Recruit model	yprBH_SlotLL

Package: rFAMS 0.0.3.9000

rFAMS: Fisheries Analysis and Modeling Simulator

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