smooth.spec: Covariates specified as penalized splines

In survPen: Multidimensional Penalized Splines for Survival and Net Survival Models

Covariates specified as penalized splines

Description

Specifies the covariates to be considered as penalized splines.

Usage

smooth.spec(
  ...,
  knots = NULL,
  df = NULL,
  by = NULL,
  option = NULL,
  same.rho = FALSE
)

Arguments

...	Numeric vectors specified in smf, tensor or tint
knots	List of numeric vectors that specifies the knots of the splines (including boundaries); default is NULL
df	Degrees of freedom: numeric vector that indicates the number of knots desired for each covariate; default is NULL
by	numeric or factor variable in order to define a varying coefficient smooth; default is NULL
option	"smf", "tensor" or "tint". Depends on the wrapper function; default is "smf"
same.rho	if there is a factor by variable, should the smoothing parameters be the same for all levels; default is FALSE.

Value

object of class smooth.spec

term	Vector of strings giving the names of each covariate specified in ...
dim	Numeric value giving the number of covariates associated with this spline
knots	list of numeric vectors that specifies the knots for each covariate
df	Numeric vector giving the number of knots associated with each covariate
by	numeric or factor variable in order to define a varying coefficient smooth
same.rho	if there is a factor by variable, should the smoothing parameters be the same for all levels; default is FALSE
name	simplified name of the call to function smooth.spec

Examples

library(survPen)

# standard spline of time with 10 unspecified knots
smooth.spec(time)

# tensor of time and age with 5*5 specified knots
smooth.s <- smooth.spec(time,age,knots=list(time=seq(0,5,length=5),age=seq(20,80,length=5)),
option="tensor")

survPen documentation built on Sept. 14, 2023, 1:06 a.m.