lmms (version 1.3.3)

deriv.lmmspline: Derivative information for lmmspline objects

Description

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

Usage

"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)