A package to run mixture models for truncated metabolomics data with normal or lognormal distributions


[Up] [Top]

Documentation for package ‘metabomxtr’ version 1.18.0

Help Pages

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' ~~