metabomxtr-package |
A package to run mixture models on truncated normal or lognormal data |
anyMissingLevels |
A function to determine whether any level of a categorical variable has completely missing outcome 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 |
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 |
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' ~~ |