varGuid: R and Python Implementations of Variance-Guided Regression for Robust Effect-Size Estimation in Linear Models.

Liu S, Wang Z, Lu M

DOI: 10.1177/01466216261470433
Published: 2026 Jul 15
Container: Applied psychological measurement
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1177/01466216261470433,
  title = {varGuid: R and Python Implementations of Variance-Guided Regression for Robust Effect-Size Estimation in Linear Models.},
  author = {Liu S and Wang Z and Lu M},
  year = {2026},
  journal = {Applied psychological measurement},
  doi = {10.1177/01466216261470433},
  url = {https://doi.org/10.1177/01466216261470433}
}

RIS

TY  - JOUR
TI  - varGuid: R and Python Implementations of Variance-Guided Regression for Robust Effect-Size Estimation in Linear Models.
AU  - Liu S
AU  - Wang Z
AU  - Lu M
PY  - 2026
JO  - Applied psychological measurement
DO  - 10.1177/01466216261470433
UR  - https://doi.org/10.1177/01466216261470433
ER  -

APA

S, L., Z, W., & M, L. (2026). varGuid: R and Python Implementations of Variance-Guided Regression for Robust Effect-Size Estimation in Linear Models.. Applied psychological measurement. https://doi.org/10.1177/01466216261470433

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pubmed · retrieved 2026-09-26T17:34:32.951Z