fvyxC: fvyxC

In bcallaway11/qrme: Quantile Regression with Measurement Error

fvyxC

Description

Computes density of measurement error conditional on y and x given QR estimates and distribution of measurement error

Usage

fvyxC(v, betmat, m, pi, mu, sig, y, x, tau)

Arguments

v	value to estimate the density at
betmat	matrix of quantile regression coefficients
m	number of mixture components
pi	vector of mixture probabilities
mu	vector of mixture means
sig	vector of mixture standard deviations
y	a particular value of y
x	a vector of x's
tau	vector of values where QR were estimated

Value

estimate of density of measurement error conditional on y and x

bcallaway11/qrme documentation built on May 16, 2024, 12:02 p.m.