get_reconc_matrices: Build hierarchy matrices

In bayesRecon: Probabilistic Reconciliation via Conditioning

Build hierarchy matrices

Description

Creates the aggregation and summing matrices for a temporal hierarchy of time series from a user-selected list of aggregation levels.

Usage

get_reconc_matrices(agg_levels, h)

Arguments

agg_levels	user-selected list of aggregation levels.
h	number of steps ahead for the bottom level forecasts.

Value

A list containing the named elements:

• A the aggregation matrix;

• S the summing matrix.

See Also

temporal_aggregation()

Examples

library(bayesRecon)

# Create monthly hierarchy
agg_levels <- c(1, 2, 3, 4, 6, 12)
h <- 12
rec_mat <- get_reconc_matrices(agg_levels, h)
S <- rec_mat$S
A <- rec_mat$A

bayesRecon documentation built on March 8, 2026, 9:08 a.m.