deriv.lmmspline: Derivative information for 'lmmspline' objects

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

Description

Calculates the derivative information for lmmspline objects with a "p-spline" or "cubic p-spline" basis.

Usage

## S3 method for class 'lmmspline'
deriv(expr, ...)

Arguments

expr	An object of class lmmspline.
...	Additional arguments which are passed to deriv.

Value

deriv returns an object of class lmmspline containing the following components:

predSpline	data.frame containing the predicted derivative values based on the linear model object or the linear mixed effect model object.
modelsUsed	numeric vector indicating the model used to fit the data. 0 = linear model, 1 = linear mixed effect model spline (LMMS) with defined basis ("cubic" by default), 2 = LMMS taking subject-specific random intercept, 3 = LMMS with subject specific intercept and slope.
model	list of models used to model time profiles.
derivative	logical value indicating if the predicted values are the derivative information.

Examples

## Not run: 
data(kidneySimTimeGroup)
# run lmmSpline on the samples from group 1 only
G1 <- which(kidneySimTimeGroup$group=="G1")
testLMMSplineTG<- lmmSpline(data=kidneySimTimeGroup$data[G1,],
                  time=kidneySimTimeGroup$time[G1],
                  sampleID=kidneySimTimeGroup$sampleID[G1],
                  basis="p-spline",keepModels=T)
testLMMSplineTGDeri <- deriv(testLMMSplineTG)
summary(testLMMSplineTGDeri)
## End(Not run)

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