biweight_alt_left: Left alternative Biweight kernels
In svjaco/lpreba: Local Polynomial Regression with Option for Explicit Boundary Adjustment
Description
Usage
Arguments
References
Description
Left alternative Biweight kernels derived from Müller and Wang (1994, Table 1).
Usage
1
biweight_alt_left(u, rho)
Arguments
u
Kernel argument.
rho
Determines the strength of the boundary adjustment (scalar).
References
Müller, H.-G. and J.-L. Wang (1994).
“Hazard rate estimation under random censoring with varying kernels and bandwidths”.
Biometrics 50 (1), pp. 61–76.
svjaco/lpreba documentation built on March 4, 2022, 12:42 a.m.
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.
Description Usage Arguments References
Description
Left alternative Biweight kernels derived from Müller and Wang (1994, Table 1).
Usage
1 | biweight_alt_left(u, rho)
|
Arguments
u |
Kernel argument. |
rho |
Determines the strength of the boundary adjustment (scalar). |
References
Müller, H.-G. and J.-L. Wang (1994). “Hazard rate estimation under random censoring with varying kernels and bandwidths”. Biometrics 50 (1), pp. 61–76.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.