| assignCellType | Align cell types when reference proportions are known |
| beta_emp | Simulated methylation 450K array data with related |
| CBS_PBMC_array | An example dataset for partial reference-free cell composition estimation from tissue gene expression |
| cedar | Testing cell type specific differential signals for specified phenotype by considering DE/DM state corrleation between cell types. |
| ChooseMarker | Choose cell type-specific markers from pure cell type profiles or single cell data |
| csDeconv | Improve reference-free deconvolution using cross-cell type differential analysis |
| csTest | Testing differential signals for specified phenotype and cell type(s). |
| DEVarSelect | Feature selection for reference-free deconvolution using cross-cell type differential analysis |
| findRefinx | findRefinx |
| fitModel | Fit model with proportions and phenotypes. |
| GetPrior | Get prior knowledge for supported tissue types |
| makeDesign | Generate design matrix from input phenotypes and proportions. |
| MDeconv | Estimate cell compoisitons via partial reference-free deconvolution. |
| myprojectMix | Replicate the function myprojectMix() from RefFreeEWAS package |
| myRefFreeCellMix | Replicate the function RefFreeCellMix() from RefFreeEWAS package |
| myRefFreeCellMixInitialize | Replicate the function RefFreeCellMixInitialize() from RefFreeEWAS package |
| plotCorr | Show DE/DM state correlation between cell types |
| RA_100samples | An example dataset for cellular proportion estimation and multiple factor design |
| Tsisal | Complete Deconvolution of DNA methylation data based on TOAST and SISAL |