Man pages for mi4p
Multiple Imputation for Proteomics
| check.conditions | Check if the design is valid |
| check.design | Check if the design is valid |
| datasim | A single simulated dataset |
| eBayes.mod | MI-aware Modifed eBayes Function |
| formatLimmaResult | Format a Result from Limma |
| hid.ebayes | MI-aware Modifed eBayes Function |
| limmaCompleteTest.mod | Computes a hierarchical differential analysis |
| make.contrast | Builds the contrast matrix |
| make.design | Builds the design matrix |
| make.design.1 | Builds the design matrix for designs of level 1 |
| make.design.2 | Builds the design matrix for designs of level 2 |
| make.design.3 | Builds the design matrix for designs of level 3 |
| meanImp_emmeans | Multiple Imputation Estimate |
| mi4limma | Differential analysis after multiple imputation |
| mi4p-package | mi4p: Multiple imputation for proteomics |
| mm_peptides | mm_peptides - peptide-level intensities for mouse |
| multi.impute | Multiple imputation of quantitative proteomics datasets |
| MVgen | Amputation of a dataset |
| norm.200.m100.sd1.vs.m200.sd1.list | A list of simulated datasets. |
| proj_matrix | Variance-Covariance Matrix Projection |
| protdatasim | Data simulation function |
| qData | Extract of the abundances of Exp1_R25_pept dataset |
| rubin1.all | First Rubin rule (all peptides) |
| rubin1.one | First Rubin rule (a given peptide) |
| rubin2.all | Computes the 2nd Rubin's rule (all peptides) |
| rubin2bt.all | 2nd Rubin's rule Between-Imputation component (all peptides) |
| rubin2bt.one | 2nd Rubin's rule Between-Imputation Component (a given... |
| rubin2wt.all | 2nd Rubin's rule Within-Variance Component (all peptides) |
| rubin2wt.one | 2nd Rubin's rule Within-Variance Component (a given peptide) |
| sTab | Experimental design for the Exp1_R25_pept dataset |
| test.design | Check if xxxxxx |
| within_variance_comp_emmeans | Multiple Imputation Within Variance Component |
