1. Load both records | 2. Plot the wax records | 3. Claim levels used by assess_claim() | 4. Local effective slope | 5. Invert wax values to precipitation values | 6. Detection threshold and posterior probability of change | 7. Assess a claim | 7b. Magnitude path: rejecting vegetation as the sole explanation | 8. Plot the reconstructions | Takeaway | Notes
Package: leafwax 0.4.0
leafwax: Bayesian Inversion of Leaf Wax Hydrogen Isotopes to Precipitation
Full Bayesian inversion of leaf wax hydrogen isotopes to reconstruct precipitation isotopes from hierarchical calibration posteriors. The likelihood is integrated over paired calibration draws and an explicit proper reconstruction prior, without dividing by sampled slopes. Multi-sample records jointly reweight shared calibration draws. A 100-draw fixture is included only for code-path verification; complete posterior deposits are required for inference and are distributed in the companion public data repository.
Authors:
leafwax_0.4.0.tar.gz
leafwax_0.4.0.zip(r-4.7-any)leafwax_0.4.0.zip(r-4.6-any)leafwax_0.4.0.zip(r-4.5-any)
leafwax_0.4.0.tgz(r-4.6-any)leafwax_0.4.0.tgz(r-4.5-any)
leafwax_0.4.0.tar.gz(r-4.7-any)leafwax_0.4.0.tar.gz(r-4.6-any)
leafwax_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
leafwax/json (API)
| # Install 'leafwax' in R: |
| install.packages('leafwax', repos = c('https://bradleylab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bradleylab/leafwax/issues
Pkgdown/docs site:https://bradleylab.github.io
Datasets:
- example_data - Example leaf wax hydrogen isotope data
Last updated from:3147c052e9. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 113 | ||
| source / vignettes | OK | 200 | ||
| linux-release | OK | 108 | ||
| macos-release | OK | 100 | ||
| macos-oldrel | OK | 95 | ||
| windows-devel | OK | 84 | ||
| windows-release | OK | 83 | ||
| windows-oldrel | OK | 80 | ||
| wasm-release | OK | 103 |
Exports:assess_claimavailable_modelsbatch_predictbayesian_linear_inversebayesian_record_inversecheck_data_cacheclear_download_cachecompare_modelscompute_vegetation_enveloped2h_prior_normald2h_prior_truncated_normald2h_prior_uniformdetect_changedetect_model_capabilitiesdownload_model_dataestimate_temporal_autocorrelationgenerate_fibonacci_sphereget_all_model_metadataget_cache_dirget_cache_infoget_data_pathget_data_urlget_model_infoget_model_parametersinvert_d2hinvert_d2Hinvert_d2H_ensembleleafwax_configleafwax_set_configlist_cached_modelslist_model_nameslist_modelsload_posteriorslocal_effective_slopepredict_d2h_precippredict_spatial_dual_gpselect_best_model_from_flagsvalidate_inputsvalidate_model_inputs
