Package: knobi
Type: Package
Title: Known-Biomass Production Model (KBPM)
Version: 1.0.1
Authors@R: c(person("Anxo", "Paz", email = "anxo.paz@hotmail.com", role = c("aut", "cre")),
  person("Marta", "Cousido Rocha", email = "marta.cousido@ieo.csic.es", role = c("aut", "ths")),
  person("Santiago", "Cervino Lopez", email = "santiago.cervino@ieo.csic.es", role = c("aut", "ths")),
  person("Maria Grazia", "Peninno", email = "grazia.pennino@ieo.csic.es", role = c("aut")))
Description: Application of a Known Biomass Production Model (KBPM):
        (1) the fitting of KBPM to each stock; (2) the estimation of
        the effects of environmental variability; (3) the retrospective
        analysis to identify regime shifts; (4) the estimation of
        forecasts. For more details see Schaefer (1954)
        <https://www.iattc.org/GetAttachment/62d510ee-13d0-40f2-847b-0fde415476b8/Vol-1-No-2-1954-SCHAEFER,-MILNER-B-_Some-aspects-of-the-dynamics-of-populations-important-to-the-management-of-the-commercial-marine-fisheries.pdf>,
        Pella and Tomlinson (1969)
        <https://www.iattc.org/GetAttachment/9865079c-6ee7-40e2-9e30-c4523ff81ddf/Vol-13-No-3-1969-PELLA,-JEROME-J-,-and-PATRICK-K-TOMLINSON_A-generalized-stock-production-model.pdf>
        and MacCall (2002)
        <doi:10.1577/1548-8675(2002)022%3C0272:UOKBPM%3E2.0.CO;2>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: corrplot, ggplot2, gridExtra, grDevices, optimx, plot3D,
        stats, dplyr, tidyr
RoxygenNote: 7.3.3
Suggests: knitr, rmarkdown, icesSAG
VignetteBuilder: knitr, rmarkdown
Config/pak/sysreqs: cmake libicu-dev
Repository: https://anxopaz.r-universe.dev
Date/Publication: 2026-06-04 12:32:59 UTC
RemoteUrl: https://github.com/anxopaz/knobi
RemoteRef: HEAD
RemoteSha: a3fae01c3863fc5b8a3e6db4962053cdd92ebc56
NeedsCompilation: no
Packaged: 2026-07-04 09:09:05 UTC; root
Author: Anxo Paz [aut, cre],
  Marta Cousido Rocha [aut, ths],
  Santiago Cervino Lopez [aut, ths],
  Maria Grazia Peninno [aut]
Maintainer: Anxo Paz <anxo.paz@hotmail.com>
Depends: R (>= 3.5.0)