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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>","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>.","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} }","short":"Y. Feng, T. Gries, S. Letmathe, D. 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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>.","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>","short":"Y. Feng, T. Gries, S. Letmathe, D. Schulz, The R Journal 14 (2022) 182–195.","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} }","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>."},"page":"182-195","intvolume":"        14","year":"2022","date_created":"2023-12-21T12:09:53Z","author":[{"first_name":"Yuanhua","full_name":"Feng, Yuanhua","id":"20760","last_name":"Feng"},{"last_name":"Gries","full_name":"Gries, Thomas","id":"186","first_name":"Thomas"},{"full_name":"Letmathe, Sebastian","last_name":"Letmathe","first_name":"Sebastian"},{"last_name":"Schulz","full_name":"Schulz, Dominik","first_name":"Dominik"}],"volume":14,"date_updated":"2025-11-10T09:32:36Z","publisher":"The R Foundation","doi":"10.32614/rj-2022-017","title":"The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series"},{"year":"2017","citation":{"ieee":"J. Bossek, “Smoof: Single- and Multi-Objective Optimization Test Functions,” <i>The R Journal</i>, vol. 9, no. 1, pp. 103–113, 2017.","chicago":"Bossek, Jakob. “Smoof: Single- and Multi-Objective Optimization Test Functions.” <i>The R Journal</i> 9, no. 1 (2017): 103–113.","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.","mla":"Bossek, Jakob. “Smoof: Single- and Multi-Objective Optimization Test Functions.” <i>The R Journal</i>, vol. 9, no. 1, 2017, pp. 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} }","short":"J. 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