| AclustsCCA | Implement AclustsCCA |
| AclustsCCA.cont | Implement additional permutations of AclustsCCA |
| AclustsCCASampler.cancors-class | Build AclustsCCA sampler based on canonical correlation |
| AclustsCCASampler.tailprob-class | Build AclustsCCA sampler based on canonical correlation |
| annot | Sample Annotation Data for Analysis |
| mmctest | Functions associated with mmctest |
| partial.residual | partial.residual |
| plot_AclustsCCA | Creates a heatmap of significant CpG sites/Genes and... |
| sampalg-class | Sequential implementation of Monte Carlo tests |
| sample.data | Sample Data for AclustsCCA R Package |
| Sparse.alternating | Penalized least squares function used for SparseCCA |
| SparseCCA | Implement SparseCCA |
| summary_Aclustering | Create a table that summarizes A-clustering result |
| summary_AclustsCCA | Outputs summary of AclustsCCA result |
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