BLMM: Parallelised computing for big linear mixed models
Within neuroimaging large-scale, shared datasets are becoming increasingly commonplace, challenging existing tools both in terms of overall scale and complexity of the study designs. As sample sizes grow, researchers are presented with new opportunities to detect and account for grouping factors and...
| Egile Nagusiak: | , |
|---|---|
| Formatua: | Artikulua |
| Hizkuntza: | English |
| Argitaratua: |
Elsevier
2022-12-01
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| Saila: | NeuroImage |
| Sarrera elektronikoa: | http://www.sciencedirect.com/science/article/pii/S1053811922008503 |