irtoys: normal.qu – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

normal.qu

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

Examples

quad <- normal.qu(n=20)

irtoys

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

v0.2.1

GPL (>= 2)

Authors

Ivailo Partchev [aut, cre], Gunter Maris [aut], Tamaki Hattori [ctb]

Initial release

2017-12-15