re: Function for setting up random effects (intercepts or...

In bdsegal/psplinesl1: P-splines with an l_1 penalty for repeated measures

Description

Function for setting up random effects (intercepts or B-spline curves)

Usage

re(x, id, data, randomCurves = FALSE, width = 5, norder = 4,
  derivOrder = 2)

Arguments

x	vector evaluation points (typically time)
id	character string designating grouping variable
data	dataset in which to evaluate arguments
randomCurves	TRUE/FALSE if True, uses B-spline bases, otherwise random intercepts
width	scalar width of B-spline bases (if randomCurves = TRUE)
norder	scalar order of B-spline bases (order k is degree k-1) (if randomCurves = TRUE)
derivOrder	scalar order of derivative used in the random effect penalty matrix (if randomCurves = TRUE)

Examples

library(psplinesl1)
data(simData)

# setup random effect matrices
rand <- re(x = "x", id = "id", data = simData,
           randomCurves = FALSE)

bdsegal/psplinesl1 documentation built on July 22, 2019, 11:38 a.m.