Virtual Noise Algorithm for Computing D-Optimal Designs with Correlated Observations // Provides an implementation of the Virtual Noise algorithm for D-optimal experimental designs under correlated observations. The package supports flexible covariance structures, multi-dimensional candidate sets, and analytical or numerical computation of regression gradients. It offers a unified framework for constructing design matrices, defining covariance models, and computing optimal design measures.