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

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Bibliographic Details
Title: Generalized least squares transformation for single-case experimental design: Introducing the R package lmeSCED.
Authors: Li C; Department of Educational Psychology, Texas A&M University, 718E Harrington Tower, College Station, TX, 77843-4225, USA., Baek E; Department of Educational Psychology, Texas A&M University, 718E Harrington Tower, College Station, TX, 77843-4225, USA. baek@tamu.edu., Luo W; Department of Educational Psychology, Texas A&M University, 718E Harrington Tower, College Station, TX, 77843-4225, USA.
Source: Behavior research methods [Behav Res Methods] 2026 Feb 23; Vol. 58 (3). Date of Electronic Publication: 2026 Feb 23.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101244316 Publication Model: Electronic Cited Medium: Internet ISSN: 1554-3528 (Electronic) Linking ISSN: 1554351X NLM ISO Abbreviation: Behav Res Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1554-3528
DOI:10.3758/s13428-025-02936-4