Package index • leafwax

Inversion

Reconstruct d2H_precip from leaf-wax d2H_wax.

invert_d2H() invert_d2h(): Bayesian inversion of leaf-wax d2H to precipitation d2H
invert_d2H_ensemble(): Ensemble predictions across multiple models
bayesian_linear_inverse(): Bayesian inversion of a linear calibration posterior
bayesian_record_inverse(): Joint Bayesian inversion of a multi-sample record
d2h_prior_normal(): Normal prior for precipitation-isotope inversion
d2h_prior_truncated_normal(): Truncated-normal prior for precipitation-isotope inversion
d2h_prior_uniform(): Uniform prior for precipitation-isotope inversion

Paleo-record workflow

Local slope, change detection, claim taxonomy.

local_effective_slope(): Local effective slope at a paleo-reconstruction site
estimate_temporal_autocorrelation(): Estimate lag-1 temporal autocorrelation
detect_change(): Within-record d2H_precip change detection
compute_vegetation_envelope(): Vegetation-only envelope for a paleo wax-isotope record
assess_claim(): Assess a paleoclimate claim against the leaf-wax taxonomy

Models

Routing and metadata for the 14 calibration-model variants.

available_models(): Get available models
get_all_model_metadata(): Get all model metadata
get_model_info(): Get model info
list_models(): List available models with details
load_posteriors(): Load posterior draws for a model
select_best_model_from_flags(): Select best model based on available data

Datasets

example_data: Example leaf wax hydrogen isotope data

Lower-level helpers

Internal-style exports (data caching, batch processing, validation) and the lower-level invert_d2h() function. Most users will not call these directly.

invert_d2H() invert_d2h(): Bayesian inversion of leaf-wax d2H to precipitation d2H
batch_predict(): Jointly invert multiple observations from one record
predict_d2h_precip(): Predict precipitation d2H from leaf wax d2H
validate_inputs(): Validate input data for inversion
validate_model_inputs(): Validate inputs for a specific model
get_model_parameters(): Get model parameters
detect_model_capabilities(): Detect model capabilities from static metadata
list_model_names(): List model names
leafwax_config(): Get leafwax configuration
leafwax_set_config(): Set leafwax configuration
compare_models(): Compare predictions across multiple models
generate_fibonacci_sphere(): Generate Fibonacci sphere points
predict_spatial_dual_gp(): Predict both spatial intercept and spatial slope at new locations
predict_one_gp_mpp(): Predict an mPP Gaussian-process random effect at a new location
download_model_data(): Download model data from the configured public release
check_data_cache(): Check if model data exists in cache
clear_download_cache(): Clear download cache
get_cache_dir(): Get leafwax data cache directory
get_cache_info(): Get cache size information
get_data_path(): Get path to data file
get_data_url(): Get data download URLs
list_cached_models(): List available models in cache
download_with_progress(): Download file with progress bar
generate_model_description(): Generate human-readable model description
get_cache_files(): Get cache files for a model
get_data_manifest(): Get data manifest
get_url_config(): Get URL configuration
process_parallel(): Process chunks in parallel
process_sequential(): Process chunks sequentially with progress bar

S3 print methods

Pretty-printing for the package’s own S3 classes.

print(<leafwax_posterior>): Print method for leafwax_posterior

Package

leafwax leafwax-package: leafwax: Bayesian Calibration of Leaf Wax Hydrogen Isotope Reconstructions