validate_unvec_args

Validate arguments for inverse vectorization

Implements various Riemannian metrics for symmetric positive definite matrices, including AIRM (Affine Invariant Riemannian Metric, <doi:10.1007/s11263-005-3222-z>), Log-Euclidean (<doi:10.1002/mrm.20965>), Euclidean, Log-Cholesky (<doi:10.1137/18M1221084>), and Bures-Wasserstein metrics (<doi:10.1016/j.exmath.2018.01.002>). Provides functions for computing logarithmic and exponential maps, vectorization, and statistical operations on the manifold of positive definite matrices.

Nicolas Escobar

riemtan

Riemannian Metrics for Symmetric Positive Definite Matrices

Jaroslaw Harezlak

validate_unvec_args function

<dl><dt>sigma</dt>
<dd>A dppMatrix object</dd>
<dt>w</dt>
<dd>A numeric vector</dd></dl>

Arguments

Validate arguments for inverse vectorization — validate_unvec_args

<dl>

<dt>sigma</dt>
<dd>A dppMatrix object</dd>


<dt>w</dt>
<dd>A numeric vector</dd>

</dl>

validate_unvec_args: Validate arguments for inverse vectorization

Description

Usage

Value

Arguments

Details