csmGmm
Conditionally Symmetric Multidimensional Gaussian Mixture Model
Implements the conditionally symmetric multidimensional Gaussian mixture model (csmGmm) for large-scale testing of composite null hypotheses in genetic association applications such as mediation analysis, pleiotropy analysis, and replication analysis. In such analyses, we typically have J sets of K test statistics where K is a small number (e.g. 2 or 3) and J is large (e.g. 1 million). For each one of the J sets, we want to know if we can reject all K individual nulls. Please see the vignette for a quickstart guide. The paper describing these methods is "Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies" by Sun R, McCaw Z, & Lin X (Journal of the American Statistical Association 2025, <doi:10.1080/01621459.2024.2422124>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.0 |
rolling linux/jammy R-4.5 | csmGmm_0.4.0.tar.gz |
114.4 KiB |
0.4.0 |
rolling linux/noble R-4.5 | csmGmm_0.4.0.tar.gz |
114.9 KiB |
0.4.0 |
rolling source/ R- | csmGmm_0.4.0.tar.gz |
27.9 KiB |
0.4.0 |
latest linux/jammy R-4.5 | csmGmm_0.4.0.tar.gz |
114.4 KiB |
0.4.0 |
latest linux/noble R-4.5 | csmGmm_0.4.0.tar.gz |
114.9 KiB |
0.4.0 |
latest source/ R- | csmGmm_0.4.0.tar.gz |
27.9 KiB |
0.4.0 |
2026-04-26 source/ R- | csmGmm_0.4.0.tar.gz |
27.9 KiB |
0.4.0 |
2026-04-23 source/ R- | csmGmm_0.4.0.tar.gz |
27.9 KiB |
0.4.0 |
2026-04-09 windows/windows R-4.5 | csmGmm_0.4.0.zip |
119.4 KiB |
0.3.0 |
2025-04-20 source/ R- | csmGmm_0.3.0.tar.gz |
23.7 KiB |