Generalized least squares transformation for single-case experimental design: Introducing the R package lmeSCED.

Li C, Baek E, Luo W

DOI: 10.3758/s13428-025-02936-4
Published: 2026 Feb 23
Container: Behavior research methods
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.3758/s13428-025-02936-4,
  title = {Generalized least squares transformation for single-case experimental design: Introducing the R package lmeSCED.},
  author = {Li C and Baek E and Luo W},
  year = {2026},
  journal = {Behavior research methods},
  doi = {10.3758/s13428-025-02936-4},
  url = {https://doi.org/10.3758/s13428-025-02936-4}
}

RIS

TY  - JOUR
TI  - Generalized least squares transformation for single-case experimental design: Introducing the R package lmeSCED.
AU  - Li C
AU  - Baek E
AU  - Luo W
PY  - 2026
JO  - Behavior research methods
DO  - 10.3758/s13428-025-02936-4
UR  - https://doi.org/10.3758/s13428-025-02936-4
ER  -

APA

C, L., E, B., & W, L. (2026). Generalized least squares transformation for single-case experimental design: Introducing the R package lmeSCED.. Behavior research methods. https://doi.org/10.3758/s13428-025-02936-4

Source records

pubmed · retrieved 2026-09-26T18:00:27.303Z
europe-pmc · retrieved 2026-09-26T18:00:27.316Z