LLW {condSURV} | R Documentation |
Local linear weights.
Description
Computes local linear weights based on Kernel smoothing.
Usage
LLW(x, kernel = "gaussian", bw, t1)
Arguments
x |
Covariate values for obtaining estimates for the conditional probabilities. If missing, unconditioned probabilities will be computed. |
kernel |
A character string specifying the desired kernel. See details below for possible options. Defaults to "gaussian" where the gaussian density kernel will be used. |
bw |
A single numeric value to compute a kernel density bandwidth. |
t1 |
Covariate value to compute the weight at. |
Details
Possible options for argument window are "gaussian", "epanechnikov", "tricube", "boxcar", "triangular", "quartic" or "cosine".
Value
A vector with local linear weights.
Author(s)
Luis Meira-Machado and Marta Sestelo
See Also
Examples
LLW(x = colonCS$age, bw = 3, t1 = 60)
[Package condSURV version 2.0.4 Index]