cdist-class


Stores conditional means, variances, skewnesses and kurtoses of observed and estimated bivariate distributions of test scores.


classes

Implements the kernel method of test equating using the CB, EG, SG, NEAT CE/PSE and NEC designs, supporting gaussian, logistic and uniform kernels and unsmoothed and pre-smoothed input data.

Bjorn Andersson

kequate

The Kernel Method of Test Equating

cdist-class function

Objects can be created by calls of the form <code>new("cdist", ...)</code>. 

Objects from the Class

<dl>
	<dt>est1</dt><dd>Matrix of conditional means, variances, skewnesses and kurtoses of X given A for the estimated score distribution.</dd> <dt>est2</dt><dd>Matrix of conditional means, variances, skewnesses and kurtoses of A given X for the estimated score distribution.</dd> <dt>obs1</dt><dd>Matrix of conditional means, variances, skewnesses and kurtoses of X given A for the observed score distribution.</dd> <dt>obs2</dt><dd>Matrix of conditional means, variances, skewnesses and kurtoses of A given X for the observed score distribution.</dd> </dl> 

Slots

<dl>
    <dt>plot</dt><dd><code>signature(x = "keout")</code>: ... </dd> </dl> 

cdist-class: Class "cdist"

Description

Arguments

Objects from the Class

Slots

Methods

See Also

Examples