own_dist

(<code>matrix</code>) Matrix containing locations

(<code>NULL</code> or <code>matrix</code>) If <code>NULL</code>, computes the
distances between <code>x</code>. Otherwise, computes cross-distances, i.e.,
pair-wise distances between rows of <code>x</code> and <code>y</code>.

(<code>NULL</code> or <code>numeric(1)</code>) If <code>NULL</code>, all
distances are considered. Otherwise, only distances shorter than
<code>taper</code> are used. Hence the output will be a sparse matrix of type
<code><a rd-options="spam" href="/link/spam?package=varycoef&version=0.3.3&to=spam" data-mini-rdoc="spam::spam">spam</a></code>.

taper

Further arguments for either <code><a rd-options="stats" href="/link/dist?package=varycoef&version=0.3.3&to=stats" data-mini-rdoc="stats::dist">dist</a></code> or
<code><a rd-options="spam" href="/link/nearest.dist?package=varycoef&version=0.3.3&to=spam" data-mini-rdoc="spam::nearest.dist">nearest.dist</a></code>.

Implements a maximum likelihood estimation (MLE)
method for estimation and prediction of Gaussian process-based
spatially varying coefficient (SVC) models
(Dambon et al. (2021a) <doi:10.1016/j.spasta.2020.100470>).
Covariance tapering (Furrer et al. (2006) <doi:10.1198/106186006X132178>) can
be applied such that the method scales to large data. Further, it implements
a joint variable selection of the fixed and random effects (Dambon et al.
(2021b) <arXiv:2101.01932>). The package and its capabilities are described
in (Dambon et al. (2021c) <arXiv:2106.02364>).

Jakob Dambon

varycoef

Modeling Spatially Varying Coefficients

Jakob A. Dambon

Fabio Sigrist

Reinhard Furrer

own_dist function

<dl><dt>x</dt>
<dd>(<code>matrix</code>) Matrix containing locations</dd>
<dt>y</dt>
<dd>(<code>NULL</code> or <code>matrix</code>) If <code>NULL</code>, computes the
distances between <code>x</code>. Otherwise, computes cross-distances, i.e.,
pair-wise distances between rows of <code>x</code> and <code>y</code>.</dd>
<dt>taper</dt>
<dd>(<code>NULL</code> or <code>numeric(1)</code>) If <code>NULL</code>, all
distances are considered. Otherwise, only distances shorter than
<code>taper</code> are used. Hence the output will be a sparse matrix of type
<code>spam</code>.</dd>
<dt>...</dt>
<dd>Further arguments for either <code><a href="/link/dist?package=varycoef&version=0.3.3" data-mini-rdoc="varycoef::dist">dist</a></code> or
<code>nearest.dist</code>.</dd></dl>

Arguments

Computes (Cross-) Distances — own_dist

<dl>

<dt>x</dt>
<dd>(<code>matrix</code>) Matrix containing locations</dd>


<dt>y</dt>
<dd>(<code>NULL</code> or <code>matrix</code>) If <code>NULL</code>, computes the
distances between <code>x</code>. Otherwise, computes cross-distances, i.e.,
pair-wise distances between rows of <code>x</code> and <code>y</code>.</dd>


<dt>taper</dt>
<dd>(<code>NULL</code> or <code>numeric(1)</code>) If <code>NULL</code>, all
distances are considered. Otherwise, only distances shorter than
<code>taper</code> are used. Hence the output will be a sparse matrix of type
<code>spam</code>.</dd>


<dt>...</dt>
<dd>Further arguments for either <code><a href='https://rdrr.io/r/stats/dist.html'>dist</a></code> or
<code>nearest.dist</code>.</dd>

</dl>

own_dist: Computes (Cross-) Distances

Description

Usage

Value

Arguments