c(
person("Ramnath", "Vaidyanathan", role = c("aut", "cph")),
person("Yihui", "Xie", role = c("aut")),
person("JJ", "Allaire", role = c("aut")),
person("Joe", "Cheng", role = c("aut"), email = "joe@rstudio.com"),
person("Carson", "Sievert", role = c("aut", "cre"), email = "carson@rstudio.com", comment = c(ORCID = "0000-0002-4958-2844")),
person("Kenton", "Russell", role = c("aut", "cph")),
person("Ellis", "Hughes", role = c("ctb")),
person(family = "RStudio", role = "cph")
)
Ramnath Vaidyanathan [aut, cph],
Yihui Xie [aut],
JJ Allaire [aut],
Joe Cheng [aut],
Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>),
Kenton Russell [aut, cph],
Ellis Hughes [ctb],
RStudio [cph]

Historical Tree Ensembles for Longitudinal Data
Historical regression trees are an extension of standard trees,
producing a non-parametric estimate of how the response depends on
all of its prior realizations as well as that of any time-varying predictor
variables. The method applies equally to regularly as well as irregularly
sampled data. The package implements random forest and boosting ensembles
based on historical regression trees, suitable for longitudinal data.

Historical regression trees are an extension of standard trees,
producing a non-parametric estimate of how the response depends on
all of its prior realizations as well as that of any time-varying predictor
variables. The method applies equally to regularly as well as irregularly
sampled data. The package implements random forest and boosting ensembles
based on historical regression trees, suitable for longitudinal data.
Standard error estimation and Z-score variable importance is also implemented.

Rob J Hyndman, Roman A Ahmed, and Han Lin Shang
Methods for analysing and forecasting hierarchical time
series.

Methods for analysing and forecasting hierarchical and
grouped time series.

Methods for analysing and forecasting hierarchical and grouped time series.

Rob J Hyndman, Earo Wang and Alan Lee with contributions from Roman A Ahmed and Han Lin Shang to earlier versions of the package