Package: phenomix 1.0.4

Eric J. Ward

phenomix: Fit Density Curves to Peak Timing Data that Varies over Time

The 'phenomix' package fits time-varying density curves to run timing type data commonly encountered in fisheries and ecology. Example applications include to peak run timing curves collected for juvenile or adult Pacific salmon, though could also be applied to other kinds of data such as hydrographs, plant phenology (flowering, leaf out).

Authors:Eric J. Ward [aut, cre], Samantha M. Wilson [ctb], Joseph H. Anderson [ctb]

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phenomix.pdf |phenomix.html✨
phenomix/json (API)

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

Peer review:

Bug tracker:https://github.com/nwfsc-cb/phenomix/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

    On CRAN:

    cpp

    5.01 score 5 stars 34 scripts 11 exports 35 dependencies

    Last updated 7 months agofrom:cda03751c7. Checks:OK: 1 NOTE: 8. Indexed: no.

    TargetResultDate
    Doc / VignettesOKNov 26 2024
    R-4.5-win-x86_64NOTENov 26 2024
    R-4.5-linux-x86_64NOTENov 26 2024
    R-4.4-win-x86_64NOTENov 26 2024
    R-4.4-mac-x86_64NOTENov 26 2024
    R-4.4-mac-aarch64NOTENov 26 2024
    R-4.3-win-x86_64NOTENov 26 2024
    R-4.3-mac-x86_64NOTENov 26 2024
    R-4.3-mac-aarch64NOTENov 26 2024

    Exports:create_dataextract_allextract_annualextract_lowerextract_meansextract_sigmaextract_thetaextract_upperfitparsplot_diagnostics

    Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegnormgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalestibbletidyselectTMButf8vctrsviridisLitewithr

    Extracting estimated and derived parameters

    Rendered froma4_derived.Rmdusingknitr::rmarkdownon Nov 26 2024.

    Last update: 2024-02-26
    Started: 2023-05-03

    Fitting time varying phenology models with the phenomix package

    Rendered froma1_examples.Rmdusingknitr::rmarkdownon Nov 26 2024.

    Last update: 2024-02-26
    Started: 2022-03-03

    Including covariates

    Rendered froma2_covariates.Rmdusingknitr::rmarkdownon Nov 26 2024.

    Last update: 2024-02-26
    Started: 2022-03-03

    Troubleshooting

    Rendered froma3_troubleshooting.Rmdusingknitr::rmarkdownon Nov 26 2024.

    Last update: 2024-02-26
    Started: 2022-03-03