A matrix or multivariate time series contain the bottom level series.
nodes
A list contains the number of child nodes associated with each level,
which indicates the hierarchical structure. The default is
a simple hierarchy with only 2 levels (i.e. total and bottom). If the argument
characters is used, nodes will be automatically generated within the function.
bnames
The names of the bottom time series.
characters
Integers indicate the segments in which the bottom level names
can be read in order to construct the corresponding node structure and its labels.
For instance, suppose one of the bottom series is named "VICMelb" referring to the city
of Melbourne within the state of Victoria. Then characters would
be specified as c(3, 4) referring to states of 3 characters (e.g., "VIC") and
cities of 4 characters (e.g., "Melb") All the bottom names must be of the same length,
with number of characters for each segment the same for all series.
Value
bts
Multivariate time series containing the bottom level series
nodes
Information about the nodes of a hierarchical time series
labels
Information about the labels that are used for plotting.
Author(s)
Earo Wang and Rob J Hyndman
References
R. J. Hyndman, R. A. Ahmed, G. Athanasopoulos and H.L. Shang (2011)
Optimal combination forecasts for hierarchical time series.
Computational Statistics and Data Analysis, 55(9), 2579–2589.
http://robjhyndman.com/papers/hierarchical/
See Also
gts,
accuracy.gts, forecast.gts, plot.gts
Examples
# Example 1
# The hierarchical structure looks like 2 child nodes associated with level 1,
# which are followed by 3 and 2 sub-child nodes respectively at level 2.
nodes <- list(2, c(3, 2))
abc <- ts(5 + matrix(sort(rnorm(500)), ncol = 5, nrow = 100))
x <- hts(abc, nodes)
# Example 2
# Suppose we've got the bottom names that can be useful for constructing the node
# structure and the labels at higher levels. We need to specify how to split them
# in the argument "characters".
library(hts)
abc <- ts(5 + matrix(sort(rnorm(1000)), ncol = 10, nrow = 100))
colnames(abc) <- c("A10A", "A10B", "A10C", "A20A", "A20B",
"B30A", "B30B", "B30C", "B40A", "B40B")
y <- hts(abc, characters = c(1, 2, 1))