fvC: fvC

In bcallaway11/qrme: Quantile Regression with Measurement Error

fvC

Description

Computes the density of the measurement error term given it follows a mixture of normals distribution

Usage

fvC(v, m, pi, mu, sig)

Arguments

v	value to estimate the density at
m	number of mixture components
pi	vector of mixture probabilities
mu	vector of mixture means
sig	vector of mixture standard deviations

Value

estimated density of measurement error at v

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