vcov.lpdensity {lpdensity} | R Documentation |
Vcov Method for Local Polynomial Density Estimation and Inference
Description
The vcov method for local polynomial density objects.
Usage
## S3 method for class 'lpdensity'
vcov(object, ...)
Arguments
object |
Class "lpdensity" object, obtained by calling |
... |
Additional options. |
Value
stdErr |
A matrix containing grid points and standard errors using p- and q-th order local polynomials. |
CovMat_p |
The variance-covariance matrix corresponding to |
CovMat_q |
The variance-covariance matrix corresponding to |
Author(s)
Matias D. Cattaneo, Princeton University. cattaneo@princeton.edu.
Michael Jansson, University of California Berkeley. mjansson@econ.berkeley.edu.
Xinwei Ma (maintainer), University of California San Diego. x1ma@ucsd.edu.
See Also
lpdensity
for local polynomial density estimation.
Supported methods: coef.lpdensity
, confint.lpdensity
,
plot.lpdensity
, print.lpdensity
, summary.lpdensity
,
vcov.lpdensity
.
Examples
# Generate a random sample
set.seed(42); X <- rnorm(2000)
# Estimate density and report results
vcov(lpdensity(data = X, bwselect = "imse-dpi"))
[Package lpdensity version 2.4 Index]