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

In lpcde: Boundary Adaptive Local Polynomial Conditional Density Estimator

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 class 'lpbwcde'
summary(object, ...)

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.

Value

Display output

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

Author(s)

Matias D. Cattaneo (maintainer). [e-mail].

Rajita Chandak. [e-mail].

Michael Jansson. [e-mail].

Xinwei Ma. [e-mail].

See Also

lpbwcde for data-driven bandwidth selection.

Supported methods: coef.lpbwcde, print.lpbwcde, summary.lpbwcde.

Examples

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)

lpcde documentation built on May 21, 2026, 5:09 p.m.