Estimate aquatic species life history using robust techniques. This package supports users undertaking two types of analysis: 1) Growth from length-at-age data, and 2) maturity analyses for length and/or age data. Maturity analyses are performed using generalised linear model approaches incorporating either a binomial or quasibinomial distribution. Growth modelling is performed using the multimodel approach presented by Smart et al. (2016) "Multimodel approaches in shark and ray growth studies: strengths, weaknesses and the future" <doi:10.1111/faf.12154>.
| Version: | 1.0.6 |
| Depends: | R (≥ 3.3) |
| Imports: | plyr, MASS, readr, broom, MuMIn, magrittr, rlist, minpack.lm, dplyr, tidyr, ggplot2 |
| Suggests: | knitr, rmarkdown |
| Published: | 2026-01-10 |
| DOI: | 10.32614/CRAN.package.AquaticLifeHistory |
| Author: | Jonathan Smart |
| Maintainer: | Jonathan Smart <jonsmartphd at gmail.com> |
| BugReports: | https://github.com/jonathansmart/AquaticLifeHistory/issues |
| License: | GPL-3 |
| URL: | https://github.com/jonathansmart/AquaticLifeHistory, https://jonathansmart.github.io/AquaticLifeHistory/ |
| NeedsCompilation: | no |
| Citation: | AquaticLifeHistory citation info |
| Materials: | README, NEWS |
| CRAN checks: | AquaticLifeHistory results |
| Package source: | AquaticLifeHistory_1.0.6.tar.gz |
| Windows binaries: | r-devel: AquaticLifeHistory_1.0.6.zip, r-release: AquaticLifeHistory_1.0.6.zip, r-oldrel: AquaticLifeHistory_1.0.6.zip |
| macOS binaries: | r-release (arm64): AquaticLifeHistory_1.0.6.tgz, r-oldrel (arm64): AquaticLifeHistory_1.0.6.tgz, r-release (x86_64): AquaticLifeHistory_1.0.6.tgz, r-oldrel (x86_64): AquaticLifeHistory_1.0.6.tgz |
| Old sources: | AquaticLifeHistory archive |
| Reverse imports: | BayesGrowth |
Please use the canonical form https://CRAN.R-project.org/package=AquaticLifeHistory to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.