summary.lpbwcde: Summary method for local polynomial conditional density bandwidth selection

Description

The summary method for local polynomial conditional density bandwidth selection objects.

Usage

# S3 method for lpbwcde
summary(object, ...)

Value

Display output: A list of specified options and a matrix of grid points, bandwidth, and effective sample size.

Arguments

object: Class "lpbwcde" object, obtained by calling lpbwcde.
...: Additional options, including (i) y_grid specifies a subset of y_grid points to display the bandwidth; (ii) gridIndex specifies the indices of y_grid points to display the bandwidth.

Author

Matias D. Cattaneo, Princeton University. cattaneo@princeton.edu.

Rajita Chandak (maintainer), Princeton University. rchandak@princeton.edu.

Michael Jansson, University of California Berkeley. mjansson@econ.berkeley.edu.

Xinwei Ma, University of California San Diego. x1ma@ucsd.edu.

Examples

Run this code

n <- 100
x_data <- as.matrix(rnorm(n, mean = 0, sd = 1))
y_data <- as.matrix(rnorm(n, mean = 0, sd = 1))
y_grid <- stats::quantile(y_data, seq(from = 0.1, to = 0.9, by = 0.1))
# bandwidth selection
y_grid <- stats::quantile(y_data, seq(from = 0.1, to = 0.9, by = 0.1))
model2 <- lpcde::lpbwcde(y_data = y_data, x_data = x_data, x = 0,
                         y_grid = y_grid, bw_type = "mse-rot")
summary(model2)