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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