rowBlockSum

This function implements a method to sum blocks of rows in a matrix

Contains functions to perform various models and
methods for test equating. It currently implements the traditional
mean, linear and equipercentile equating methods. Both IRT observed-score
and true-score equating are also supported, as well as the mean-mean,
mean-sigma, Haebara and Stocking-Lord IRT linking methods.
It also supports newest methods such that local equating, kernel
equating (using Gaussian, logistic, Epanechnikov, uniform and adaptive
kernels) with presmoothing, and IRT parameter linking methods based on
asymmetric item characteristic functions. Functions to obtain both
standard error of equating (SEE) and standard error of equating differences
between two equating functions (SEED) are also implemented for the kernel method of
equating.

Jorge Gonzalez

SNSequate

Standard and Nonstandard Statistical Models and Methods for Test
Equating

Daniel Leon Acuna

rowBlockSum function

<dl><dt>mat</dt>
<dd>Input matrix</dd>
<dt>blocksize</dt>
<dd>Size of the row blocks</dd>
<dt>w</dt>
<dd>(Optional) Vector for weighted sum</dd></dl>

Arguments

Daniel Acuna Leon. <a href="/link/dnacuna%40uc.cl?package=SNSequate&version=1.3-4" data-mini-rdoc="SNSequate::dnacuna@uc.cl">dnacuna@uc.cl</a>

Author

Take a matrix and sum blocks of rows — rowBlockSum

<dl>

<dt>mat</dt>
<dd>Input matrix</dd>


<dt>blocksize</dt>
<dd>Size of the row blocks</dd>


<dt>w</dt>
<dd>(Optional) Vector for weighted sum</dd>

</dl>

Daniel Acuna Leon. <a href='mailto:dnacuna@uc.cl'>dnacuna@uc.cl</a>

rowBlockSum: Take a matrix and sum blocks of rows

Description

Usage

Value

Arguments

Author

Details