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

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Documentation for package ‘metabomxtr’ version 1.32.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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' ~~