predict.lmmspline: Predicts fitted values of an 'lmmspline' Object

In lmms: Linear Mixed Effect Model Splines for Modelling and Analysis of Time Course Data

Description

Predicts the fitted values of an lmmspline object for time points of interest.

Usage

## S3 method for class 'lmmspline'
predict(object, timePredict, numCores, ...)

Arguments

object	an object inheriting from class lmmspline.
timePredict	an optional numeric vector. Vector of time points to predict fitted values. If missing uses design points.
numCores	alternative numeric value indicating the number of CPU cores to be used for parallelization. By default estimated automatically.
...	ignored.

Value

matrix containing predicted values for the requested time points from argument timePredict.

Examples

## Not run: 
data(kidneySimTimeGroup)
G1 <- which(kidneySimTimeGroup$group=="G1")
testLMMSpline<- lmmSpline(data=kidneySimTimeGroup$data[G1,],
                 time=kidneySimTimeGroup$time[G1],
                 sampleID=kidneySimTimeGroup$sampleID[G1],keepModels=T)
mat.predict <- predict(testLMMSpline, timePredict=c(seq(1,4, by=0.5)))
## End(Not run)

lmms documentation built on May 2, 2019, 6:53 a.m.