kernel_sRD: Kernel function
In nxarteagag/rddsw: Regression discontinuity with and without sample weights
Description
Usage
Arguments
Value
View source: R/funcion kernels 150419.R
Description
estimation of the kernel function using sample weights
Usage
1
kernel_sRD(kernel_, weights, h, X, c)
Arguments
kernel_
kernel type: triangular, epanechnikov, tricube, uniform, gaussian y cosine
h
bandwidth
X
continuous variable
c
cutpoint
weigths
pik, NULL if there aren't sample weights
Value
matriz con pesos kernel incluyendo o no los pesos de muestreo
nxarteagag/rddsw documentation built on May 26, 2019, 10:35 a.m.
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Description Usage Arguments Value
View source: R/funcion kernels 150419.R
Description
estimation of the kernel function using sample weights
Usage
1 | kernel_sRD(kernel_, weights, h, X, c)
|
Arguments
kernel_ |
kernel type: triangular, epanechnikov, tricube, uniform, gaussian y cosine |
h |
bandwidth |
X |
continuous variable |
c |
cutpoint |
weigths |
pik, NULL if there aren't sample weights |
Value
matriz con pesos kernel incluyendo o no los pesos de muestreo
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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