softplus

Computes the softplus function \(\log(1+e^{t})\) in a
numerically stable way for large absolute values of \(t\).

Kernel density estimation on the polysphere, (hyper)sphere, and
circle. Includes functions for density estimation, regression estimation,
ridge estimation, bandwidth selection, kernels, samplers, and homogeneity
tests. Companion package to García-Portugués and Meilán-Vila (2025)
<doi:10.1080/01621459.2025.2521898> and García-Portugués and Meilán-Vila
(2023) <doi:10.1007/978-3-031-32729-2_4>.

Eduardo Portugues

polykde

Polyspherical Kernel Density Estimation

Eduardo García-Portugués

Andrea Meilán-Vila

softplus function

<dl><dt>t</dt>
<dd>vector or matrix.</dd></dl>

Arguments

Stable computation of the softplus function — softplus

<dl>

<dt>t</dt>
<dd>vector or matrix.</dd>

</dl>

softplus: Stable computation of the softplus function

Description

Usage

Value

Arguments

Examples