Package: PVAClone 0.1-7
PVAClone: Population Viability Analysis with Data Cloning
Likelihood based population viability analysis in the presence of observation error and missing data. The package can be used to fit, compare, predict, and forecast various growth model types using data cloning.
Authors:
PVAClone_0.1-7.tar.gz
PVAClone_0.1-7.zip(r-4.5)PVAClone_0.1-7.zip(r-4.4)PVAClone_0.1-7.zip(r-4.3)
PVAClone_0.1-7.tgz(r-4.4-any)PVAClone_0.1-7.tgz(r-4.3-any)
PVAClone_0.1-7.tar.gz(r-4.5-noble)PVAClone_0.1-7.tar.gz(r-4.4-noble)
PVAClone_0.1-7.tgz(r-4.4-emscripten)PVAClone_0.1-7.tgz(r-4.3-emscripten)
PVAClone.pdf |PVAClone.html✨
PVAClone/json (API)
# Install 'PVAClone' in R: |
install.packages('PVAClone', repos = c('https://psolymos.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/psolymos/pvaclone/issues
- paurelia - Paramecium abundance time series
- redstart - Abundance time series of American Redstart
- songsparrow - Abundance time series of Song Sparrow
Last updated 4 months agofrom:8cb03ecb80. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 19 2024 |
R-4.5-win | OK | Aug 19 2024 |
R-4.5-linux | OK | Aug 19 2024 |
R-4.4-win | OK | Aug 19 2024 |
R-4.4-mac | OK | Aug 19 2024 |
R-4.3-win | OK | Aug 19 2024 |
R-4.3-mac | OK | Aug 19 2024 |
Exports:bevertonholtcoefconfintdiagn_scalefancyPVAmodelgenerateLatentgompertzmodel.selectprint.pvaModelSelectpvapva.llrrickersummarythetalogisticthetalogistic_Dts_indexvcov
Dependencies:abindbackportsBHbootcallrcheckmateclicodacolorspacedclonedcmledescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR2OpenBUGSR6RColorBrewerRcppRcppEigenRcppParallelrjagsrlangrstanscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Population Viability Analysis with Data Cloning | PVAClone-package PVA Pva PVAClone pvaclone |
Print fancy model names in summaries | fancyPVAmodel |
Generate latent variable | generateLatent |
Growth models | bevertonholt gompertz growthmodels ricker thetalogistic thetalogistic_D |
Internal functions | internal-functions Internals internals PVAClone-internals ts_index |
Model selection for 'pva' objects | model.select print.pvaModelSelect pva.llr |
Paramecium abundance time series | paurelia |
Population Viability Analysis | diagn_scale pva |
Class '"pva"' | pva-class |
Methods for 'pva' objects | coef,pva-method confint,pva-method summary,pva-method vcov,pva-method |
Class '"pvamodel"' | pvamodel-class |
Abundance time series of American Redstart | redstart |
Abundance time series of Song Sparrow | songsparrow |