wt_kern {rddapp} | R Documentation |
Kernel Weight Calculation
Description
wt_kern
calculates the appropriate kernel weights for a vector.
This is useful when, for instance, one wishes to perform local regression.
It is based on the kernelwts
function in the "rdd" package.
This is an internal function and is typically not directly invoked by the user.
It can be accessed using the triple colon, as in rddapp:::wt_kern().
Usage
wt_kern(X, center, bw, kernel = "triangular")
Arguments
X |
A numeric vector containing the the input |
center |
A numeric value specifying the point from which distances should be calculated. |
bw |
A numeric value specifying the bandwidth. |
kernel |
A string indicating which kernel to use. Options are |
Value
wt_kern
returns a vector of weights with length equal to that of the X
input
(one weight per element of X
).
References
Drew Dimmery (2016). rdd: Regression Discontinuity Estimation. R package version 0.57. https://CRAN.R-project.org/package=rdd