| scDDboost-package | A compositional model to assess expression changes from single-cell rna-seq data |
| calD | calculate distance matrix |
| clusHelper | function to get intra and inter distance for clusters |
| detK | determine the number of clusters |
| EBS | accelerated empirical bayesian |
| extractInfo | extract count matrix from SingleCellExperiment object |
| gCl | gene_level cluster |
| genRClus | generate random clusterings |
| getDD | index of DD genes under FDR control |
| getSizeofDD | number of DD genes under FDR control |
| getZ1Z2 | function to get counts of cluster sizes at two conditions |
| gRef | generate reference matrix |
| isRef | check refinement relation between two clusters |
| LL | likelihood function for hyperparameters estimation |
| lpt1t2 | log likelihood of z1,z2 given t1,t2 |
| lpzgt | log likelihood of aggregated multinomial counts z given aggregated proportions t |
| mdd | posterior of proportion change given mixture double dirichlet prior |
| pat | generating partition patterns |
| pdd | calculate posterior probabilities of a gene to be differential distributed |
| pddAggregate | function to aggregate intermediate results and get prob of DD |
| rwMle | MLE for random weighting parameter |
| scDDboost | A compositional model to assess expression changes from single-cell rna-seq data |
| sim_dat | scDDboost |