This package is considered a duplicate. The official version of this package is found at:https://earowang.r-universe.dev/hts

Package: hts 6.0.3

Earo Wang

hts: Hierarchical and Grouped Time Series

Provides methods for analysing and forecasting hierarchical and grouped time series. The available forecast methods include bottom-up, top-down, optimal combination reconciliation (Hyndman et al. 2011) <doi:10.1016/j.csda.2011.03.006>, and trace minimization reconciliation (Wickramasuriya et al. 2018) <doi:10.1080/01621459.2018.1448825>.

Authors:Rob Hyndman [aut], Alan Lee [aut], Earo Wang [aut, cre], Shanika Wickramasuriya [aut]

hts_6.0.3.tar.gz
hts_6.0.3.zip(r-4.7)hts_6.0.3.zip(r-4.6)hts_6.0.3.zip(r-4.5)
hts_6.0.3.tgz(r-4.6-x86_64)hts_6.0.3.tgz(r-4.6-arm64)hts_6.0.3.tgz(r-4.5-x86_64)hts_6.0.3.tgz(r-4.5-arm64)
hts_6.0.3.tar.gz(r-4.7-arm64)hts_6.0.3.tar.gz(r-4.7-x86_64)hts_6.0.3.tar.gz(r-4.6-arm64)hts_6.0.3.tar.gz(r-4.6-x86_64)
hts_6.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
hts/json (API)
NEWS

# Install 'hts' in R:

install.packages('hts', repos = c('https://robjhyndman.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/earowang/hts/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

htseg1 - Simple examples of hierarchical time series.
htseg2 - Simple examples of hierarchical time series.
infantgts - Regional infant mortality counts across Australia from 1933 to 2003.

On CRAN:

forecasts hts cpp

8.44 score 113 stars 5 packages 203 scripts 3.2k downloads 18 exports 34 dependencies

Last updated from:7e08414899. Checks:13 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	161
linux-devel-x86_64	OK	170
source / vignettes	OK	171
linux-release-arm64	OK	154
linux-release-x86_64	OK	166
macos-release-arm64	OK	137
macos-release-x86_64	OK	275
macos-oldrel-arm64	OK	118
macos-oldrel-x86_64	OK	179
windows-devel	OK	154
windows-release	OK	154
windows-oldrel	OK	124
wasm-release	OK	121

Exports:accuracy.gts aggts allts combinef forecast.gts get_groups get_nodes gts hts is.gts is.hts MinT plot.gts print.gts print.hts smatrix summary.gts summary.hts

Dependencies:cli colorspace cpp11 farver forecast fracdiff generics ggplot2 glue gtable isoband labeling lattice lifecycle lmtest magrittr Matrix nlme nnet R6 RColorBrewer Rcpp RcppArmadillo RcppEigen rlang S7 scales SparseM timeDate urca vctrs viridisLite withr zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Hierarchical and grouped time series	hts-package
In-sample or out-of-sample accuracy measures for forecast grouped and hierarchical model	accuracy.gts
Extract selected time series from a gts object	aggts
Extract all time series from a gts object	allts
Optimally combine forecasts from a hierarchical or grouped time series	combinef
Forecast a hierarchical or grouped time series	forecast.gts forecast.hts
Get nodes/groups from an hts/gts object	get_groups get_nodes
Create a grouped time series	gts is.gts print.gts summary.gts
Create a hierarchical time series	hts is.hts print.hts summary.hts
Simple examples of hierarchical time series.	htseg1 htseg2
Regional infant mortality counts across Australia from 1933 to 2003.	infantgts
Trace minimization for hierarchical or grouped time series	MinT
Plot grouped or hierarchical time series	plot.gts
Summing matrix for hierarchical or grouped time series	smatrix
Time window of a gts object	window.gts