R: Probabilistic Reconciliation via Conditioning

# Probabilistic Reconciliation via Conditioning

## Documentation for package ‘bayesRecon’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

carparts_example | Example of a time series from carparts
extr_mkt_events | Extreme market events dataset
extr_mkt_events_basefc | Base forecasts for the extreme market events dataset
get_reconc_matrices | Build hierarchy matrices
infantMortality | Infant Mortality grouped time series dataset
M3_example | Example of a time series from the M3 forecasting competition
M5_CA1_basefc | Example of hierarchical forecasts for a store from the M5 competition
Mixed_reconciliation | Probabilistic forecast reconciliation of mixed hierarchies
multi_log_score_optimization | Optimize degrees of freedom (nu) via LOO Cross-Validation
PMF | PMF operations and utilities
PMF_get_mean | PMF operations and utilities
PMF_get_quantile | PMF operations and utilities
PMF_get_var | PMF operations and utilities
PMF_sample | PMF operations and utilities
PMF_summary | PMF operations and utilities
reconc_BUIS | BUIS for Probabilistic Reconciliation of forecasts via conditioning
reconc_gaussian | Analytical reconciliation of Gaussian base forecasts
reconc_MCMC | MCMC for Probabilistic Reconciliation of forecasts via conditioning
reconc_MixCond | Probabilistic forecast reconciliation of mixed hierarchies
reconc_t | t-Rec: reconciliation via conditioning with uncertain covariance via multivariate t-distribution
reconc_TDcond | Probabilistic forecast reconciliation of mixed hierarchies
schaferStrimmer_cov | Schäfer Strimmer covariance shrinkage
swiss_tourism | Swiss tourism: monthly Swiss overnight stay data
temporal_aggregation | Temporal aggregation of a time series