R: Probabilistic Reconciliation via Conditioning

# Probabilistic Reconciliation via Conditioning

## Documentation for package ‘bayesRecon’ version 0.3.2

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

## 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
PMF.get_mean | Get the mean of the distribution from a PMF object
PMF.get_quantile | Get quantile from a PMF object
PMF.get_var | Get the variance of the distribution from a PMF object
PMF.sample | Sample from the distribution given as a PMF object
PMF.summary | Returns summary of a PMF object
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 via conditioning
reconc_TDcond | Probabilistic forecast reconciliation of mixed hierarchies via top-down conditioning
schaferStrimmer_cov | Schäfer Strimmer covariance shrinkage
temporal_aggregation | Temporal aggregation of a time series