aver_techreps           Compute average intensity
corr_plot               Correlation between technical replicates
covid_fit_df            Suvarna et al 2021 LFQ data (fit object)
covid_norm_df           Suvarna et al 2021 LFQ data (normalized)
create_df               Create a data frame of protein intensities
ecoli_fit_df            Cox et al 2014 LFQ data (fit object)
ecoli_norm_df           Cox et al 2014 LFQ data (normalized)
feature_plot            Visualize feature (protein) variation among
                        conditions
filterbygroup_na        Filter proteins by group level missing data
find_dep                Identify differentially expressed proteins
                        between groups
heatmap_de              Heatmap of differentially expressed proteins
heatmap_na              Visualize missing data
impute_na               Impute missing values
impute_plot             Visualize the impact of imputation
norm_plot               Visualize the effect of normalization
normalize_data          Normalize intensity data
onegroup_only           Proteins that are only expressed in a given
                        group
performance_plot        Model performance plot
pre_process             Pre-process protein intensity data for modeling
rem_feature             Remove user-specified proteins (features) from
                        a data frame
rem_sample              Remove user-specified samples
roc_plot                ROC plot
split_data              Split the data frame to create training and
                        test data
test_models             Test machine learning models on test data
train_models            Train machine learning models on training data
varimp_plot             Variable importance plot
volcano_plot            Volcano plot
