Package: wiqid 0.3.3
wiqid: Quick and Dirty Estimates for Wildlife Populations
Provides simple, fast functions for maximum likelihood and Bayesian estimates of wildlife population parameters, suitable for use with simulated data or bootstraps. Early versions were indeed quick and dirty, but optional error-checking routines and meaningful error messages have been added. Includes single and multi-season occupancy, closed capture population estimation, survival, species richness and distance measures.
Authors:
wiqid_0.3.3.tar.gz
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wiqid_0.3.3.tgz(r-4.4-any)wiqid_0.3.3.tgz(r-4.3-any)
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wiqid.pdf |wiqid.html✨
wiqid/json (API)
NEWS
# Install 'wiqid' in R: |
install.packages('wiqid', repos = c('https://mikemeredith.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mikemeredith/wiqid/issues
- GrandSkinks - Multi-season detection data for grand skinks
- KanhaTigers - Capture history matrix for camera-trapped tigers
- KillarneyBirds - Abundance of woodland birds
- MeadowVoles - Robust design mark-recapture data for meadow voles
- Temburong - Tree species count data
- TemburongBA - Tree species count data
- dippers - Capture-recapture data for European dippers
- distTestData - An artificial data set to test distance/dissimilarity measures
- railSims - Simulated detection/non-detection data for two species of rails
- salamanders - Occupancy data for blue ridge salamanders
- seedbank - Seed abundances in soil samples
- toves - Simulated detection/non-detection data for a fictitious species
- weta - Detection data for weta in gorse bushes
Last updated 2 years agofrom:1bc6d72500. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-win | NOTE | Nov 05 2024 |
R-4.5-linux | NOTE | Nov 05 2024 |
R-4.4-win | OK | Nov 05 2024 |
R-4.4-mac | NOTE | Nov 05 2024 |
R-4.3-win | OK | Nov 05 2024 |
R-4.3-mac | NOTE | Nov 05 2024 |
Exports:AICcAICtableallCombinationsas.BwiqidBbinomBbinomialbiodBergerbiodBrillouinbiodShannonbiodSimpsonBnormalBnormal2BoccSSBoccSS0BpoissonBsecr0BsurvCJSclosedCapM0closedCapMbclosedCapMh2closedCapMhJKclosedCapMtclosedCapMtcovdbeta2dbeta3dgamma2distBrayCurtisdistChaoJaccCorrdistChaoJaccNaivedistChaoSorCorrdistChaoSorNaivedistChorddistJaccarddistMatchingdistMorisitaHorndistOchiaidistPrestondistRogersTanimotodistShelldistSimRatiodistSorensendistWhittakerdt2dt3getBeta2PargetBeta3PargetGammaPargetMCerrorocc2spsoccMSoccMS0occMScovSiteoccMStimeoccSSoccSS0occSScovSiteoccSSrnoccSSrn0occSSrnSiteoccSStimepbeta2pbeta3pgamma2plotACsplotCombplotPostpredictAvgpt2pt3qbeta2qbeta3qgamma2qt2qt3rbeta2rbeta3rgamma2richACErichBootrichChao1richChao2richCurverichDoublerichDuplicaterichICErichJack1richJack2richJackA1richJackA2richMMrichRarefyrichRenLaurichSinglerichSobsrichUniquert2rt3secrFitshowShinyAppsimpleRhatstandardizestandardize2matchsurvCJSsurvCJSajsurvRDsurvRDahWAIC
Dependencies:codaHDIntervallatticeMASSmcmcOutputplotrixtruncnorm