gauss.quad.prob: Gaussian Quadrature

In gforge/lqmm_gforge: Linear Quantile Mixed Models

Description

This function calculates nodes and weights for Gaussian quadrature in terms of probability distributions. See help("gauss.quad.prob") from package statmod.

Usage

gauss.quad.prob(
  n,
  dist = "uniform",
  l = 0,
  u = 1,
  mu = 0,
  sigma = 1,
  alpha = 1,
  beta = 1
)

Arguments

n	number of nodes and weigh
dist	distribution that Gaussian quadrature is based on, one of "uniform", "normal", "beta" or "gamma"
l	lower limit of uniform distribution
u	upper limit of uniform distribution
mu	mean of normal distribution
sigma	standard deviation of normal distribution
alpha	positive shape parameter for gamma distribution or first shape parameter for beta distribution
beta	positive scale parameter for gamma distribution or second shape parameter for beta distribution

Author(s)

Original version by Gordon Smyth

Source

Gordon Smyth with contributions from Yifang Hu, Peter Dunn and Belinda Phipson. (2011). statmod: Statistical Modeling. R package version 1.4.11. https://CRAN.R-project.org/package=statmod

gforge/lqmm_gforge documentation built on Dec. 20, 2021, 10:42 a.m.