llweights: Local linear weight functions
In HQM: Superefficient Estimation of Future Conditional Hazards Based on Marker Information
llweights R Documentation
Local linear weight functions
Description
Implements the weights to be used in the local linear HQM estimator.
Usage
sn.0(xin, xout, h, kfun)
sn.1(xin, xout, h, kfun)
sn.2(xin, xout, h, kfun)
Arguments
xin
Sample values.
xout
Grid points where the estimator will be evaluated.
h
Bandwidth parameter.
kfun
Kernel function.
Details
The function implements the local linear weights in the definition of the estimator \hat{h}_x(t), see also h_xt
Value
A vector of s_n(x) for all values x on the marker grid.
HQM documentation built on Jan. 8, 2026, 9:08 a.m.
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| llweights | R Documentation |
Local linear weight functions
Description
Implements the weights to be used in the local linear HQM estimator.
Usage
sn.0(xin, xout, h, kfun)
sn.1(xin, xout, h, kfun)
sn.2(xin, xout, h, kfun)
Arguments
xin |
Sample values. |
xout |
Grid points where the estimator will be evaluated. |
h |
Bandwidth parameter. |
kfun |
Kernel function. |
Details
The function implements the local linear weights in the definition of the estimator \hat{h}_x(t), see also h_xt
Value
A vector of s_n(x) for all values x on the marker grid.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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