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Feng Y, Gries T, Letmathe S, Schulz D (2022). “The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.” The R Journal, 14(1), 182-195. doi:10.32614/RJ-2022-017.
Feng Y, Letmathe S, Schulz D, Gries T, Fritz M (2026). smoots: Nonparametric Estimation of the Trend and Its Derivatives in TS. doi:10.32614/CRAN.package.smoots. R package version 1.1.5.
Corresponding BibTeX entries:
@Article{,
title = {The smoots Package in R for Semiparametric Modeling of
Trend Stationary Time Series},
author = {Yuanhua Feng and Thomas Gries and Sebastian Letmathe and
Dominik Schulz},
journal = {The R Journal},
year = {2022},
volume = {14},
number = {1},
pages = {182-195},
doi = {10.32614/RJ-2022-017},
}
@Manual{,
title = {smoots: Nonparametric Estimation of the Trend and Its
Derivatives in TS},
author = {Yuanhua Feng and Sebastian Letmathe and Dominik Schulz
and Thomas Gries and Marlon Fritz},
year = {2026},
note = {R package version 1.1.5},
doi = {10.32614/CRAN.package.smoots},
}
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