MakeCenters

Make the spacing as large as possible without going over <code>width</code>.
If symmetric, ensure we have an even number of centers that are symmetric around <code>PoS</code>.

internal

Implements methods for obtaining kernel density estimates
subject to a variety of shape constraints (unimodality, bimodality,
symmetry, tail monotonicity, bounds, and constraints on the number of
inflection points). Enforcing constraints can eliminate unwanted waves or
kinks in the estimate, which improves its subjective appearance and can
also improve statistical performance. The main function scdensity() is
very similar to the density() function in 'stats', allowing
shape-restricted estimates to be obtained with little effort. The
methods implemented in this package are described in Wolters and Braun
(2017) <doi:10.1080/03610918.2017.1288247>, Wolters (2012)
<doi:10.18637/jss.v047.i06>, and Hall and Huang (2002)
<https://www3.stat.sinica.edu.tw/statistica/j12n4/j12n41/j12n41.htm>.
See the scdensity() help for for full citations.

Mark A Wolters

scdensity

Shape-Constrained Kernel Density Estimation

MakeCenters function

<dl><dt>LB</dt>
<dd>The lower bound.</dd>
<dt>UB</dt>
<dd>The upper bound.</dd>
<dt>width</dt>
<dd>The maximum possible spacing.</dd>
<dt>minspace</dt>
<dd>The minimum allowable spacing.</dd>
<dt>PoS</dt>
<dd>Point of symmetry (default NULL)</dd></dl>

Arguments

Create a vector of kernel centers covering [LB, UB]. — MakeCenters

<dl>

<dt>LB</dt>
<dd>The lower bound.</dd>


<dt>UB</dt>
<dd>The upper bound.</dd>


<dt>width</dt>
<dd>The maximum possible spacing.</dd>


<dt>minspace</dt>
<dd>The minimum allowable spacing.</dd>


<dt>PoS</dt>
<dd>Point of symmetry (default NULL)</dd>

</dl>

MakeCenters: Create a vector of kernel centers covering [LB, UB].

Description

Usage

Value

Arguments