Package: ubms 1.2.9
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_1.2.9.tar.gz
ubms_1.2.9.tar.gz(r-4.7-arm64)ubms_1.2.9.tar.gz(r-4.7-x86_64)ubms_1.2.9.tar.gz(r-4.6-arm64)ubms_1.2.9.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
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/ecoverser/ubms/issues
Pkgdown/docs site:https://ecoverser.github.io
Last updated from:b019fd349a. Checks:5 OK, 1 FAIL. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 481 | ||
| linux-devel-x86_64 | OK | 508 | ||
| source / vignettes | OK | 663 | ||
| linux-release-arm64 | OK | 504 | ||
| linux-release-x86_64 | OK | 472 | ||
| wasm-release | FAIL | 197 |
Exports:cauchycoefextractextract_log_likfitListgammaget_elapsed_timeget_stancodegetYgofkfoldlaplacelogisticloomodSelnormalnsamplesplot_effectsplot_marginalplot_posteriorsplot_residualsplot_spatialposterior_linpredposterior_predictpredictprojectedranefRSRstan_colextstan_distsampstan_multinomPoisstan_occustan_occuRNstan_occuTTDstan_pcountstudent_tsummarytraceplotturnoveruniformwaic
Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsnumDerivpbapplypillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasrlangRSpectrarstanrstantoolsS7scalesStanHeaderstensorAtibbleTMBunmarkedutf8vctrsviridisLitewithr
Comparing models fit in ubms and JAGS
Rendered fromJAGS-comparison.Rmdusingknitr::rmarkdownon May 22 2026.Last update: 2022-11-10
Started: 2021-01-19
Overview of ubms
Rendered fromubms.Rmdusingknitr::rmarkdownon May 22 2026.Last update: 2025-09-29
Started: 2021-01-19
Random effects in ubms
Rendered fromrandom-effects.Rmdusingknitr::rmarkdownon May 22 2026.Last update: 2021-11-30
Started: 2021-01-19
Spatial Models in ubms
Rendered fromspatial-models.Rmdusingknitr::rmarkdownon May 22 2026.Last update: 2024-10-01
Started: 2021-11-30
