Computes local linear weights based on Kernel smoothing.

Method to implement some newly developed methods for the
estimation of the conditional survival function. See Meira-Machado,
Sestelo and Goncalves (2016) <doi:10.1002/bimj.201500038>.

Marta Sestelo

condSURV

Estimation of the Conditional Survival Function for Ordered
Multivariate Failure Time Data

LLW function

<dl><dt>x</dt>
<dd>Covariate values for obtaining estimates for the conditional
probabilities. If missing, unconditioned probabilities will be computed.</dd>
<dt>kernel</dt>
<dd>A character string specifying the desired kernel. See details
below for possible options. Defaults to "gaussian" where the gaussian
density kernel will be used.</dd>
<dt>bw</dt>
<dd>A single numeric value to compute a kernel density bandwidth.</dd>
<dt>t1</dt>
<dd>Covariate value to compute the weight at.</dd></dl>

Arguments

Luis Meira-Machado and Marta Sestelo

Author

Local linear weights. — LLW

<dl>

<dt>x</dt>
<dd>Covariate values for obtaining estimates for the conditional
probabilities. If missing, unconditioned probabilities will be computed.</dd>


<dt>kernel</dt>
<dd>A character string specifying the desired kernel. See details
below for possible options. Defaults to "gaussian" where the gaussian
density kernel will be used.</dd>


<dt>bw</dt>
<dd>A single numeric value to compute a kernel density bandwidth.</dd>


<dt>t1</dt>
<dd>Covariate value to compute the weight at.</dd>

</dl>

LLW: Local linear weights.

Description

Usage

Value

Arguments

Author

Details

See Also

Examples