normal.qu: Normal quadrature points and weights

In irtoys: A Collection of Functions Related to Item Response Theory (IRT)

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)

irtoys documentation built on May 12, 2022, 5:06 p.m.