kr.yhat.cart

Kernel regression on sphere using Fisherian density with
Cartesian coordinates

Reconstructs retinae by morphing a flat surface with cuts
(a dissected flat-mount retina) onto a curvilinear surface (the
standard retinal shape). It can estimate the position of a point
on the intact adult retina to within 8 degrees of arc (3.6% of
nasotemporal axis). The coordinates in reconstructed retinae can
be transformed to visuotopic coordinates. For more details see
Sterratt, D. C., Lyngholm, D., Willshaw, D. J. and Thompson, I. D.
(2013) <doi:10.1371/journal.pcbi.1002921>.

David Sterratt

retistruct

Retinal Reconstruction Program

Daniel Lyngholm

Jan Okul

kr.yhat.cart function

<dl><dt>r</dt>
<dd>Locations at which to estimate dependent variables in
Cartesian coordinates</dd>
<dt>mu</dt>
<dd>Locations in Cartesian coordinates (independent variables)</dd>
<dt>y</dt>
<dd>Values at locations (dependent variables)</dd>
<dt>kappa</dt>
<dd>Concentration parameter</dd></dl>

Arguments

Author

Kernel regression on sphere using Fisherian density with
Cartesian coordinates — kr.yhat.cart

<dl>

<dt>r</dt>
<dd>Locations at which to estimate dependent variables in
Cartesian coordinates</dd>


<dt>mu</dt>
<dd>Locations in Cartesian coordinates (independent variables)</dd>


<dt>y</dt>
<dd>Values at locations (dependent variables)</dd>


<dt>kappa</dt>
<dd>Concentration parameter</dd>

</dl>

kr.yhat.cart: Kernel regression on sphere using Fisherian density with Cartesian coordinates

Description

Usage

Value

Arguments

Author