normal.qu {irtoys}R Documentation

Normal quadrature points and weights

Description

Quadrature points and weights based on the Normal distribution. Quadrature objects are used when estimating abilities with eap and for some of the scaling methods in sca.

Usage

normal.qu(n = 15, lower = -4, upper = 4, mu = 0, sigma = 1, scaling = "points")

Arguments

n Number of quadrature points
lower Lower boundary
upper Upper boundary
mu Mean
sigma Standard deviation
scaling Determines the way in which non-default values of mu and sigma are applied. When scaling="points", the quadrature points are rescaled, otherwise the quadrature weights are adapted.

Value

A list of:

quad.points A vector of n quadrature points
quad.weights A vector of the corresponding quadrature weights

Author(s)

Ivailo Partchev

See Also

read.qu.icl, eap, sca

Examples

quad <- normal.qu(n=20)

[Package irtoys version 0.1.1 Index]