Comments (4)
stemangiola
commented on June 9, 2024
Hello @mdmanurung , sorry for the delay.
If you mean multilevel models, currently not. Although it is becoming a necessity for my own analyses, so I am tempted to implement it, although it is not easy task.
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stemangiola
commented on June 9, 2024
Hello @mdmanurung , almost complete. Sccomp for complex designs.
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mdmanurung
commented on June 9, 2024
Awesome news! Looking forward to it @stemangiola
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stemangiola
commented on June 9, 2024
@mdmanurung please have a look to this branch (README shows how to do it)
https://github.com/stemangiola/sccomp/tree/separate-outlier-in-two-methods
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Related Issues (20)
- use of inv_logit vs softmax HOT 3
- throw error if missing values due to pivoting long HOT 3
- Best strategy for differential composition estimation in integrated Seurat object HOT 1
- stanfit correspondence parameters variable names HOT 18
- FDR calculation HOT 3
- Question about "test_composition_above_logit_fold_change" parameter in sccomp_glm HOT 3
- dirichlet_multinomial noise model doesn't seem to function HOT 4
- Interaction terms in sccomp_glm HOT 12
- Warings from sccomp_remove_outliers() when sample size is large HOT 1
- Does sccomp require replicates ? HOT 2
- Relationship between CI, minimal effect threshold, and FDR on plots$credible_intervals_1D HOT 2
- Fig 3B and 3 group comparisson HOT 1
- question: scope of the statistical model HOT 6
- sccomp_boxplot() errors when passing a factor variable HOT 3
- custom ggplot theme misses theme element HOT 1
- sccomp plot method -> rstan::gqs throws warning HOT 3
- question about lumping or selecting compositional data HOT 1
- Interpretation when both bars are highlighted versus one HOT 14
- Multilevel model error HOT 2
- Continuous variable as main effect HOT 4
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