ps: Function for setting up p-spline smooths

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

Description

Function for setting up p-spline smooths

Usage

ps(x, norder, k, data, by = NULL, ref = NULL, width = NULL,
  delta = 1e-07, center = TRUE)

Arguments

x	vector evaluation points (typically time)
norder	scalar order of B-spline bases (order k is degree k-1)
k	scalar k+1 is order of finite difference matrix
data	dataset in which to evaluate arguments
by	optional character string designating varying coefficient
ref	optional reference level of by variable
width	scalar width of B-spline bases
delta	scalar place upper knot in B-spline basis at max(x) + delta
center	TRUE/FALSE if True, impose centering constrain on non-variable coefficient models

Examples

library(psplinesl1)
data(simData)

# setup p-spline matrices
X <- list(ps(x = "x", data = simData, 
             norder = 2, k = 1, width = 0.05,
             center = TRUE))

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