adkernel: Kernel estimation using an adaptive kernel.

In javiergarcirod/stfa: Alternative methods for Stochastic Frontier Analysis

Description

Common area estimation using an adaptive kernel.

Usage

adkernel(x, kernel = dnorm, bw = bw.nrd0, adjust = 1, n = 500, from, to, cut = 3, na.rm = TRUE, alpha = 0.5)

Arguments

x	A vector of values.
kernel	The kernel function.
bw	Band-width method.
adjust	Parameter to adjust tha variability of the bw.
n	Number of cuts over the values.
from	Minimun value to cut.
to	Maximum value to cut
cut	Size of the cuts.
na.rm	Treatment of the NA's.
alpha	An parameter of adjust teh adaptability.

Value

Return a "density" class objetc.

javiergarcirod/stfa documentation built on May 4, 2019, 6:40 p.m.