G.spline: Family of spline instrumental functions

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Family of spline instrumental functions

Description

This function normalizes the covariates to lie in the unit interval and then evaluates each B-spline at each observation, multiplying together the results per observation.

Usage

G.spline(
  x,
  g.idx,
  data,
  n.if.per.cov,
  norm.func,
  cov.ranges = NULL,
  norm.cov.out = NULL,
  degree = 3
)

Arguments

x	The vector of covariates at which to evaluate the B-splines
g.idx	The index of the instrumental function. Note that g.idx ranges between 1 and n.if.per.cov^n.cov, as an instrumental function is the product of the appropriate B-spline evaluation for each element in the covariate vector.
data	Data frame containing the data.
n.if.per.cov	Number of instrumental variables to be used per covariate.
norm.func	Function to be used to normalize the covariates.
cov.ranges	Matrix of ranges of the covariates. Used for normalizing the covariates. If cov.ranges = NULL, the data will be normalized in a data-dependent way. Default is cov.ranges = NULL.
norm.cov.out	Output of a preliminary call to the given covariate normalization function. Default is norm.cov.out = NULL.
degree	Degree of B-splines to use. Default value is degree = 3.

depCensoring documentation built on April 4, 2025, 1:52 a.m.