---
_id: '50024'
author:
- first_name: Yuanhua
  full_name: Feng, Yuanhua
  last_name: Feng
- first_name: Thomas
  full_name: Gries, Thomas
  last_name: Gries
- first_name: Sebastian
  full_name: Letmathe, Sebastian
  last_name: Letmathe
- first_name: Dominik
  full_name: Schulz, Dominik
  last_name: Schulz
citation:
  ama: Feng Y, Gries T, Letmathe S, Schulz D. The smoots Package in R for Semiparametric
    Modeling of Trend Stationary Time Series. <i>The R Journal</i>. 2022;14(1):182-195.
    doi:<a href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>
  apa: Feng, Y., Gries, T., Letmathe, S., &#38; Schulz, D. (2022). The smoots Package
    in R for Semiparametric Modeling of Trend Stationary Time Series. <i>The R Journal</i>,
    <i>14</i>(1), 182–195. <a href="https://doi.org/10.32614/rj-2022-017">https://doi.org/10.32614/rj-2022-017</a>
  bibtex: '@article{Feng_Gries_Letmathe_Schulz_2022, title={The smoots Package in
    R for Semiparametric Modeling of Trend Stationary Time Series}, volume={14}, DOI={<a
    href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>}, number={1},
    journal={The R Journal}, publisher={The R Foundation}, author={Feng, Yuanhua and
    Gries, Thomas and Letmathe, Sebastian and Schulz, Dominik}, year={2022}, pages={182–195}
    }'
  chicago: 'Feng, Yuanhua, Thomas Gries, Sebastian Letmathe, and Dominik Schulz. “The
    Smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.”
    <i>The R Journal</i> 14, no. 1 (2022): 182–95. <a href="https://doi.org/10.32614/rj-2022-017">https://doi.org/10.32614/rj-2022-017</a>.'
  ieee: 'Y. Feng, T. Gries, S. Letmathe, and D. Schulz, “The smoots Package in R for
    Semiparametric Modeling of Trend Stationary Time Series,” <i>The R Journal</i>,
    vol. 14, no. 1, pp. 182–195, 2022, doi: <a href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>.'
  mla: Feng, Yuanhua, et al. “The Smoots Package in R for Semiparametric Modeling
    of Trend Stationary Time Series.” <i>The R Journal</i>, vol. 14, no. 1, The R
    Foundation, 2022, pp. 182–95, doi:<a href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>.
  short: Y. Feng, T. Gries, S. Letmathe, D. Schulz, The R Journal 14 (2022) 182–195.
date_created: 2023-12-21T12:09:31Z
date_updated: 2024-06-12T12:57:13Z
department:
- _id: '475'
- _id: '19'
- _id: '200'
doi: 10.32614/rj-2022-017
intvolume: '        14'
issue: '1'
keyword:
- Statistics
- Probability and Uncertainty
- Numerical Analysis
- Statistics and Probability
language:
- iso: eng
page: 182-195
publication: The R Journal
publication_identifier:
  issn:
  - 2073-4859
publication_status: published
publisher: The R Foundation
status: public
title: The smoots Package in R for Semiparametric Modeling of Trend Stationary Time
  Series
type: journal_article
user_id: '186'
volume: 14
year: '2022'
...
---
_id: '50025'
author:
- first_name: Yuanhua
  full_name: Feng, Yuanhua
  id: '20760'
  last_name: Feng
- first_name: Thomas
  full_name: Gries, Thomas
  id: '186'
  last_name: Gries
- first_name: Sebastian
  full_name: Letmathe, Sebastian
  last_name: Letmathe
- first_name: Dominik
  full_name: Schulz, Dominik
  last_name: Schulz
citation:
  ama: Feng Y, Gries T, Letmathe S, Schulz D. The smoots Package in R for Semiparametric
    Modeling of Trend Stationary Time Series. <i>The R Journal</i>. 2022;14(1):182-195.
    doi:<a href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>
  apa: Feng, Y., Gries, T., Letmathe, S., &#38; Schulz, D. (2022). The smoots Package
    in R for Semiparametric Modeling of Trend Stationary Time Series. <i>The R Journal</i>,
    <i>14</i>(1), 182–195. <a href="https://doi.org/10.32614/rj-2022-017">https://doi.org/10.32614/rj-2022-017</a>
  bibtex: '@article{Feng_Gries_Letmathe_Schulz_2022, title={The smoots Package in
    R for Semiparametric Modeling of Trend Stationary Time Series}, volume={14}, DOI={<a
    href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>}, number={1},
    journal={The R Journal}, publisher={The R Foundation}, author={Feng, Yuanhua and
    Gries, Thomas and Letmathe, Sebastian and Schulz, Dominik}, year={2022}, pages={182–195}
    }'
  chicago: 'Feng, Yuanhua, Thomas Gries, Sebastian Letmathe, and Dominik Schulz. “The
    Smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.”
    <i>The R Journal</i> 14, no. 1 (2022): 182–95. <a href="https://doi.org/10.32614/rj-2022-017">https://doi.org/10.32614/rj-2022-017</a>.'
  ieee: 'Y. Feng, T. Gries, S. Letmathe, and D. Schulz, “The smoots Package in R for
    Semiparametric Modeling of Trend Stationary Time Series,” <i>The R Journal</i>,
    vol. 14, no. 1, pp. 182–195, 2022, doi: <a href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>.'
  mla: Feng, Yuanhua, et al. “The Smoots Package in R for Semiparametric Modeling
    of Trend Stationary Time Series.” <i>The R Journal</i>, vol. 14, no. 1, The R
    Foundation, 2022, pp. 182–95, doi:<a href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>.
  short: Y. Feng, T. Gries, S. Letmathe, D. Schulz, The R Journal 14 (2022) 182–195.
date_created: 2023-12-21T12:09:53Z
date_updated: 2025-11-10T09:32:36Z
doi: 10.32614/rj-2022-017
intvolume: '        14'
issue: '1'
keyword:
- Statistics
- Probability and Uncertainty
- Numerical Analysis
- Statistics and Probability
language:
- iso: eng
page: 182-195
publication: The R Journal
publication_identifier:
  issn:
  - 2073-4859
publication_status: published
publisher: The R Foundation
status: public
title: The smoots Package in R for Semiparametric Modeling of Trend Stationary Time
  Series
type: journal_article
user_id: '186'
volume: 14
year: '2022'
...
---
_id: '48865'
author:
- first_name: Jakob
  full_name: Bossek, Jakob
  id: '102979'
  last_name: Bossek
  orcid: 0000-0002-4121-4668
citation:
  ama: 'Bossek J. Smoof: Single- and Multi-Objective Optimization Test Functions.
    <i>The R Journal</i>. 2017;9(1):103–113.'
  apa: 'Bossek, J. (2017). Smoof: Single- and Multi-Objective Optimization Test Functions.
    <i>The R Journal</i>, <i>9</i>(1), 103–113.'
  bibtex: '@article{Bossek_2017, title={Smoof: Single- and Multi-Objective Optimization
    Test Functions}, volume={9}, number={1}, journal={The R Journal}, author={Bossek,
    Jakob}, year={2017}, pages={103–113} }'
  chicago: 'Bossek, Jakob. “Smoof: Single- and Multi-Objective Optimization Test Functions.”
    <i>The R Journal</i> 9, no. 1 (2017): 103–113.'
  ieee: 'J. Bossek, “Smoof: Single- and Multi-Objective Optimization Test Functions,”
    <i>The R Journal</i>, vol. 9, no. 1, pp. 103–113, 2017.'
  mla: 'Bossek, Jakob. “Smoof: Single- and Multi-Objective Optimization Test Functions.”
    <i>The R Journal</i>, vol. 9, no. 1, 2017, pp. 103–113.'
  short: J. Bossek, The R Journal 9 (2017) 103–113.
date_created: 2023-11-14T15:58:56Z
date_updated: 2023-12-13T10:51:57Z
department:
- _id: '819'
intvolume: '         9'
issue: '1'
language:
- iso: eng
page: 103–113
publication: The R Journal
publication_identifier:
  issn:
  - 2073-4859
status: public
title: 'Smoof: Single- and Multi-Objective Optimization Test Functions'
type: journal_article
user_id: '102979'
volume: 9
year: '2017'
...