Man pages for baldur
Bayesian Hierarchical Modeling for Label-Free Proteomics
| baldur-package | The 'baldur' package. |
| calculate_mean_sd_trends | Calculate the Mean-Variance trend |
| empirical_bayes | Baldur's empirical Bayes Prior For The Mean In Conditions |
| estimate_gamma_hyperparameters | Estimate Gamma hyperparameters for sigma |
| estimate_uncertainty | Estimate measurement uncertainty |
| fit_gamma_regression | Function for Fitting the Mean-Variance Gamma Regression... |
| fit_lgmr | Fit Latent Gamma Mixture Regression |
| infer_data_and_decision_model | Sample the Posterior of the data and decision model and... |
| lgmr_model | Latent Gamma Regression Model |
| lgmr_plotting | Visualization of LGMR models |
| pipe | Pipe operator |
| plot_gamma | Function for plotting the gamma regression for the... |
| plot_gamma_regression | Function for plotting the mean-variance gamma regressions |
| plot_sa | Plot the trend between the log fold-change and sigma,... |
| plot_volcano | Plot the -log10(err) against the log fold-change |
| psrn | Normalize data to a pseudo-reference |
| ups | Spiked-in data set of peptides |
| weakly_informative | Baldur's weakly informative prior for the mean in conditions |
| yeast | Spiked-in data set of reversibly oxidized cysteines |
