gaussian.square.kernel

Gaussian square kernel function - weights all points within bandwidth by distance on a Gaussian curve with standard deviation of bandwidth, but all points beyond bandwidth at 0.

internal

Contains kernel smoothing tools designed for use by historical
dialectologists and philologists for exploring spatial and temporal patterns
in noisy historical language data, such as that obtained from historical texts.
The main way in which these might differ from other implementations of kernel
smoothing is that they assume that the function (linguistic variable) being
explored has the form of the relative frequency of a series of discrete
possibilities (linguistic variants). This package also offers a way of exploring
distributions in 2-dimensional space and in time with separate kernels, and
tools for identifying appropriate bandwidths for these.

Tamsin Blaxter

kernelPhil

Kernel Smoothing Tools for Philology and Historical Dialectology

gaussian.square.kernel function

<dl><dt>d</dt>
<dd>Numeric vector of distances.</dd>
<dt>bandwidth</dt>
<dd>Numeric bandwidth.</dd></dl>

Arguments

Gaussian square kernel — gaussian.square.kernel

<dl>

<dt>d</dt>
<dd>Numeric vector of distances.</dd>


<dt>bandwidth</dt>
<dd>Numeric bandwidth.</dd>

</dl>

gaussian.square.kernel: Gaussian square kernel

Description

Usage

Value

Arguments