makeOF

Used when we need to search for important points.
P is the problem list. It should have already gone through BuildConCheckGrid and
BinningStep. The returned function must return a value even if WeightedKDE() fails.
In case of failure, just assign a large random value to the objective value (to keep
the search from stagnating or moving systematically in one direction).

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

makeOF function

<dl><dt>P</dt>
<dd>The list of problem details.</dd></dl>

Arguments

A function factory for making the search objective function. — makeOF

<dl>

<dt>P</dt>
<dd>The list of problem details.</dd>

</dl>

makeOF: A function factory for making the search objective function.

Description

Usage

Value

Arguments