translude

Make translucent colors.

Gaussian process regression with an emphasis on kernels.
Quantitative and qualitative inputs are accepted. Some pre-defined
kernels are available, such as radial or tensor-sum for
quantitative inputs, and compound symmetry, low rank, group kernel
for qualitative inputs. The user can define new kernels and
composite kernels through a formula mechanism. Useful methods
include parameter estimation by maximum likelihood, simulation,
prediction and leave-one-out validation.

Olivier Roustant

kergp

Gaussian Process Laboratory

translude function

<dl> <dt>colors</dt>
<dd></dd>A vector of colors in a format that can be understood by
 <code><a href="/link/col2rgb?package=kergp&version=0.5.7" data-mini-rdoc="kergp::col2rgb">col2rgb</a></code>.
 <dt>alpha</dt>
<dd></dd>Level of opacity ("0" means fully transparent and "max" means
 opaque). After recycling to reach the required length, this value
 or vector is used as <code>alpha</code> in <code><a href="/link/rgb?package=kergp&version=0.5.7" data-mini-rdoc="kergp::rgb">rgb</a></code>.
</dl>

Arguments

Make Translucent colors — translude

<dl>

 <dt>colors</dt>
<dd>

A vector of colors in a format that can be understood by
 <code><a href='https://rdrr.io/r/grDevices/col2rgb.html'>col2rgb</a></code>.
</dd>

 <dt>alpha</dt>
<dd>

Level of opacity ("0" means fully transparent and "max" means
 opaque). After recycling to reach the required length, this value
 or vector is used as <code>alpha</code> in <code><a href='https://rdrr.io/r/grDevices/rgb.html'>rgb</a></code>.
</dd>

</dl>

translude: Make Translucent colors

Description

Usage

Value

Arguments