R: Bayesian Methods for Economic Data Disaggregation

# Bayesian Methods for Economic Data Disaggregation

## Documentation for package ‘BayesianDisaggregation’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

bayesian_disaggregate | Run Bayesian disaggregation
coherence_score | Coherence score (prior → posterior alignment improvement)
compute_L_from_P | Compute likelihood vector from a prior matrix via SVD (center-only, robust)
interpretability_score | Interpretability score (structure preservation + plausibility)
log_enable | Enable logging at a specific level
numerical_stability_exp | Numerical stability (exponential penalty)
posterior_adaptive | Adaptive posterior based on sector volatility
posterior_dirichlet | Dirichlet-conjugate posterior (analytical mean)
posterior_multiplicative | Multiplicative posterior (Hadamard product + renormalization)
posterior_weighted | Weighted-average posterior (convex combination)
read_cpi | Read CPI data from an Excel file
read_weights_matrix | Read a weights matrix from an Excel file
run_grid_search | Run grid search for parameter optimization (parallel PSOCK)
save_results | Save disaggregation results to disk
spread_likelihood | Spread a likelihood vector across time with a chosen temporal pattern
stability_composite | Composite stability score (numerical and temporal)
temporal_stability | Temporal stability (smoothness over time)