R: Local linear weights.

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

`NWW`

### Examples

    LLW(x = colonCS$age, bw = 3, t1 = 60)

[Package condSURV version 2.0.2 Index]