mi4p-package |
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 |
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 peptide) |
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 |