recycle

internal

Handles univariate non-parametric density estimation with
parametric starts and asymmetric kernels in a simple and flexible way.
Kernel density estimation with parametric starts involves fitting a
parametric density to the data before making a correction with kernel
density estimation, see Hjort & Glad (1995) <doi:10.1214/aos/1176324627>.
Asymmetric kernels make kernel density estimation more efficient on bounded
intervals such as (0, 1) and the positive half-line. Supported asymmetric
kernels are the gamma kernel of Chen (2000) <doi:10.1023/A:1004165218295>,
the beta kernel of Chen (1999) <doi:10.1016/S0167-9473(99)00010-9>, and the
copula kernel of Jones & Henderson (2007) <doi:10.1093/biomet/asm068>.
User-supplied kernels, parametric starts, and bandwidths are supported.

Jonas Moss

kdensity

Kernel Density Estimation with Parametric Starts and Asymmetric
Kernels

Martin Tveten

recycle function

<dl><dt>...</dt>
<dd>A list of arguments to be recycled.</dd>
<dt>prototype</dt>
<dd>an optional argument. If given, repeats all arguments
up to the length of the prototype. If an element of the list has the name,
it is used. If not, the variable itself is used.</dd></dl>

Arguments

Recycles arguments. — recycle

<dl>

<dt>...</dt>
<dd>A list of arguments to be recycled.</dd>


<dt>prototype</dt>
<dd>an optional argument. If given, repeats all arguments
up to the length of the prototype. If an element of the list has the name,
it is used. If not, the variable itself is used.</dd>

</dl>

recycle: Recycles arguments.

Description

Usage

Arguments

Details