R: Generalized Spline Mixed Effect Models for Longitudinal Breath Data

# Generalized Spline Mixed Effect Models for Longitudinal Breath Data

## Documentation for package ‘LoBrA’ version 1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

as.LOBdataset | Transformation of a single longitudinal data matrix into 'LoBrA' Data Object.
components | 'LoBrA' Data Object (LDO) for Example data set
createBGComponents | Simulate background noise peaks
createBGData | Simulate background measurements
createExampleData | Create example data set for 'LoBrA'
createGoudermanData | Create the Gouderman Data Arrangement.
createInformativeComponents | Simulate informative peaks
GaudermanLDO | An S4 class to represent a 'Gouderman' LDO object, that was generated by the generalized gauderman algorithm.
GaudermanLDO-class | An S4 class to represent a 'Gouderman' LDO object, that was generated by the generalized gauderman algorithm.
GaudermanModelEvaluation | An S4 class to represent the result of the linear mixed effect modeling on a gauderman LDO.
GaudermanModelEvaluation-class | An S4 class to represent the result of the linear mixed effect modeling on a gauderman LDO.
getColor | Get colors for the plotting function.
getGeneralizedGaudermanDataFrame | Create Peak Matrices for Generalized 'Gauderman' linear mixed effect regression (LMER) Model with parameterized Times
getOptimalSpline | Extract the optimal spline model parameters from the ModelSelection Object.
getPvalue | Testing differences of groups with respect to a specific value and test.
LDO | An S4 class to represent a 'LoBrA' Data Object (LDO). It stores multiple time series data for muliple experiements and multiple Components. It allows repeated measurements of a component, irregular sampling, and unequal temporal spacing of the time points.
ldo | 'LoBrA' Data Object (LDO) for Example data set
LDO-class | An S4 class to represent a 'LoBrA' Data Object (LDO). It stores multiple time series data for muliple experiements and multiple Components. It allows repeated measurements of a component, irregular sampling, and unequal temporal spacing of the time points.
LDOmodelselection | An S4 class to represent a model selection result based on an 'LDO'.
LDOmodelselection-class | An S4 class to represent a model selection result based on an 'LDO'.
LDOscreening | An S4 class to represent the screening of metabolites in an 'LDO'.
LDOscreening-class | An S4 class to represent the screening of metabolites in an 'LDO'.
LoBrA | LoBrA: A package for modeling longitudinal breath data
lobraModelSelection | Evaluation of different spline variants.
longDataExample | 'LoBrA' Example Data Set
modelGoudermanLongitudinal | Fitting the Gouderman LME Model with using Gouderman-Data Arrangement.
plotGaudermanModel | Plotting helper function to plot a single generalized gouderman Model
plotGoudermanLongitudinalResults | Plotting the 'Gouderman' LME Model and Results.
plotLDOScreening | Plotting the screening results.
plotmodelSelectionEvaluation | Plotting results of Model Evaluation and Selection.
plotTimeSeries | Plotting function for a longitudinal data matrix (Internal Function)
powerSet | Creating the power set of a set.
screening | Screening of background or confounding components
selectComponents | Create a new 'LDO' Object that only contains the selected components.