| metabomxtr-package | A package to run mixture models on truncated normal or lognormal data |
| addBatchMeans | A function to append batch specific mean metabolite abundances to data frames containing raw values. |
| addOutlierInfo | A function to determine whether specific metabolite observations are outliers. |
| allMissingLevels | A function to determine whether metabolite levels are present for at most one level of a categorical variable. |
| anyMissingLevels | A function to determine whether any level of a categorical variable has completely missing outcome (metabolite) data |
| euMetabCData | A sample data set of truncated metabolomics data. |
| euMetabData | A sample data set of truncated metabolomics data. |
| idMissingLevels | A function to determine the levels of a categorical variable with completely missing outcome data. |
| metabdata | A sample data set of truncated metabolomics data |
| metabomxtr | A package to run mixture models on truncated normal or lognormal data |
| metabplot | A function to plot metabolite abundance before and after normalization. |
| mixnorm | A function to perform per-metabolite batch normalization using a mixture model with batch-specific thresholds and run order correction if desired. |
| mxtrmod | A function to return optimized parameter estimates and the negative log-likelihood of mixture models for truncated normal or lognormal data |
| mxtrmodLL | A function to return the negative log-likelihood of mixture models of truncated, normal or lognormal data |
| mxtrmodLRT | A function to run likelihood ratio tests on full vs. reduced mixture models |
| mxtrmodstart | A function to generate starting parameter estimates for the optimization of mixture model parameters |
| removeAllMissingCatVar | A function to remove categorical variables with insufficient data to estimate effects from mixture models |
| removeMissingLevels | A function to remove levels of categorical variables with completely missing outcome data from data frames or matrices. |
| runMxtrmod | A function to return optimized parameter estimates and the negative log-likelihood of mixture models for truncated normal or lognormal data |
| xdesign | ~~ Methods for Function 'xdesign' ~~ |
| xdesign-method | ~~ Methods for Function 'xdesign' ~~ |
| xdesign-methods | ~~ Methods for Function 'xdesign' ~~ |
| yvals | ~~ Methods for Function 'yvals' ~~ |
| yvals-method | ~~ Methods for Function 'yvals' ~~ |
| yvals-methods | ~~ Methods for Function 'yvals' ~~ |
| zdesign | ~~ Methods for Function 'zdesign' ~~ |
| zdesign-method | ~~ Methods for Function 'zdesign' ~~ |
| zdesign-methods | ~~ Methods for Function 'zdesign' ~~ |