Man pages for LoBrA
Generalized Spline Mixed Effect Models for Longitudinal Breath Data

as.LOBdatasetTransformation of a single longitudinal data matrix into...
components'LoBrA' Data Object (LDO) for Example data set
createBGComponentsSimulate background noise peaks
createBGDataSimulate background measurements
createExampleDataCreate example data set for 'LoBrA'
createGoudermanDataCreate the Gouderman Data Arrangement.
createInformativeComponentsSimulate informative peaks
GaudermanLDO-classAn S4 class to represent a 'Gouderman' LDO object, that was...
GaudermanModelEvaluation-classAn S4 class to represent the result of the linear mixed...
getColorGet colors for the plotting function.
getGeneralizedGaudermanDataFrameCreate Peak Matrices for Generalized 'Gauderman' linear mixed...
getOptimalSplineExtract the optimal spline model parameters from the...
getPvalueTesting differences of groups with respect to a specific...
ldo'LoBrA' Data Object (LDO) for Example data set
LDO-classAn S4 class to represent a 'LoBrA' Data Object (LDO). It...
LDOmodelselection-classAn S4 class to represent a model selection result based on an...
LDOscreening-classAn S4 class to represent the screening of metabolites in an...
LoBrALoBrA: A package for modeling longitudinal breath data
lobraModelSelectionEvaluation of different spline variants.
longDataExample'LoBrA' Example Data Set
modelGoudermanLongitudinalFitting the Gouderman LME Model with using Gouderman-Data...
plotGaudermanModelPlotting helper function to plot a single generalized...
plotGoudermanLongitudinalResultsPlotting the 'Gouderman' LME Model and Results.
plotLDOScreeningPlotting the screening results.
plotmodelSelectionEvaluationPlotting results of Model Evaluation and Selection.
plotTimeSeriesPlotting function for a longitudinal data matrix (Internal...
powerSetCreating the power set of a set.
screeningScreening of background or confounding components
selectComponentsCreate a new 'LDO' Object that only contains the selected...
LoBrA documentation built on March 22, 2022, 1:06 a.m.