Package: ubms 1.2.7
ubms: Bayesian Models for Data from Unmarked Animals using 'Stan'
Fit Bayesian hierarchical models of animal abundance and occurrence via the 'rstan' package, the R interface to the 'Stan' C++ library. Supported models include single-season occupancy, dynamic occupancy, and N-mixture abundance models. Covariates on model parameters are specified using a formula-based interface similar to package 'unmarked', while also allowing for estimation of random slope and intercept terms. References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.
Authors:
ubms_1.2.7.tar.gz
ubms_1.2.7.tar.gz(r-4.5-noble)ubms_1.2.7.tar.gz(r-4.4-noble)
ubms.pdf |ubms.html✨
ubms/json (API)
NEWS
# Install 'ubms' in R: |
install.packages('ubms', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/biodiverse/ubms/issues
Pkgdown:https://biodiverse.github.io
Last updated 2 months agofrom:eea0bce705. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 01 2024 |
R-4.5-linux-x86_64 | OK | Dec 01 2024 |
Exports:cauchycoefextractextract_log_likfitListgammaget_elapsed_timeget_stancodegetYgofkfoldlaplacelogisticloomodSelnormalnsamplesplot_effectsplot_marginalplot_posteriorsplot_residualsplot_spatialposterior_linpredposterior_predictpredictprojectedranefRSRstan_colextstan_distsampstan_multinomPoisstan_occustan_occuRNstan_occuTTDstan_pcountstudent_tsummarytraceplotturnoveruniformwaic
Dependencies:abindbackportsBHbootcallrcheckmateclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecyclelme4loomagrittrMASSMatrixmatrixStatsmgcvminqamunsellnlmenloptrnumDerivpbapplypillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasrlangRSpectrarstanrstantoolsscalesStanHeaderstensorAtibbleTMBunmarkedutf8vctrsviridisLitewithr
Comparing models fit in ubms and JAGS
Rendered fromJAGS-comparison.Rmd
usingknitr::rmarkdown
on Dec 01 2024.Last update: 2022-11-10
Started: 2021-01-19
Overview of ubms
Rendered fromubms.Rmd
usingknitr::rmarkdown
on Dec 01 2024.Last update: 2024-10-01
Started: 2021-01-19
Random effects in ubms
Rendered fromrandom-effects.Rmd
usingknitr::rmarkdown
on Dec 01 2024.Last update: 2021-11-30
Started: 2021-01-19
Spatial Models in ubms
Rendered fromspatial-models.Rmd
usingknitr::rmarkdown
on Dec 01 2024.Last update: 2024-10-01
Started: 2021-11-30