Package: nimbleJSextras 0.1.9002
nimbleJSextras: Aadditional Functions and Distributions For Bayesian Inference Of Jolly-Seber Models For The NIMBLE Package
This package provides functions and simulation capability for modeling and testing code when analyzing capture-recapture data using Jolly-Seber type models.
Authors:
nimbleJSextras_0.1.9002.tar.gz
nimbleJSextras_0.1.9002.zip(r-4.7-any)nimbleJSextras_0.1.9002.zip(r-4.6-any)nimbleJSextras_0.1.9002.zip(r-4.5-any)
nimbleJSextras_0.1.9002.tgz(r-4.6-any)nimbleJSextras_0.1.9002.tgz(r-4.5-any)
nimbleJSextras_0.1.9002.tar.gz(r-4.7-any)nimbleJSextras_0.1.9002.tar.gz(r-4.6-any)
nimbleJSextras_0.1.9002.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
nimbleJSextras/json (API)
| # Install 'nimbleJSextras' in R: |
| install.packages('nimbleJSextras', repos = c('https://dsjohnson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dsjohnson/nimblejsextras/issues
Last updated from:840b1c7afd. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 157 | ||
| source / vignettes | OK | 151 | ||
| linux-release | OK | 131 | ||
| macos-release | OK | 124 | ||
| macos-oldrel | OK | 81 | ||
| windows-devel | OK | 90 | ||
| windows-release | OK | 74 | ||
| windows-oldrel | OK | 86 | ||
| wasm-release | OK | 107 |
Exports:collapse_chdhmm_binomdhmm_poisdJS_binomdJS_msdJS_poispstar_binompstar_mspstar_poisrhmm_binomrhmm_poisrJS_binomrJS_msrJS_poissample_det_binomsample_det_mssample_det_poissample_undet_binomsample_undet_mssample_undet_poissim_js_listsimulate_jssimulate_multistate_js
Dependencies:clicodacpp11glueigraphlatticelifecyclemagrittrMatrixnimblenimbleEcologynumDerivpkgconfigpracmaR6rlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Collapse all capture histories to only unique histories | collapse_ch |
| Hidden Markov Model distribution for binomial and Poisson capture histories | dhmm_binom dhmm_js dhmm_pois rhmm_binom rhmm_pois |
| Jolly-Seber distributions For nimble models | dJS dJS_binom dJS_ms dJS_pois pstar_binom pstar_ms pstar_pois rJS_binom rJS_ms rJS_pois |
| Sample states for undetected (not captured) individuals | sample_det sample_det_binom sample_det_ms sample_det_pois |
| Sample states for undetected (not captured) individuals | sample_undet sample_undet_binom sample_undet_ms sample_undet_pois |
| Simulation output object | sim_js_list |
| Simulate Traditional Jolly-Seber Capture-Recapture Data | simulate_js |
| Simulate Multistate Jolly-Seber Capture-Recapture Data | simulate_multistate_js |