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 |
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