Provides density functions for the joint distribution of
    choice, response time and confidence for discrete confidence judgments
    as well as functions for parameter fitting, prediction and simulation
    for various dynamical models of decision confidence.  All models are
    explained in detail by Hellmann et al.  (2023;
    Preprint available at <https://osf.io/9jfqr/>, published version: <doi:10.1037/rev0000411>).  Implemented models are the dynaViTE model, 
    dynWEV model, the 2DSD model (Pleskac & Busemeyer, 2010, <doi:10.1037/a0019737>),
    and various race models.  C++ code for dynWEV and 2DSD is based on the
    'rtdists' package by Henrik Singmann.

Computes dynamical correlation estimates and percentile
        bootstrap confidence intervals for pairs of longitudinal
        responses, including consideration of lags and derivatives.

Provides a common interface for applying dimensionality reduction methods,
  such as Principal Component Analysis ('PCA'), Independent Component Analysis ('ICA'), diffusion maps, 
  Locally-Linear Embedding ('LLE'), t-distributed Stochastic Neighbor Embedding ('t-SNE'), 
  and Uniform Manifold Approximation and Projection ('UMAP'). 
  Has built-in support for sparse matrices.

Performs emulation of dynamic simulators using Gaussian process via one-step ahead approach. The package implements a flexible framework for approximating time-dependent outputs from computationally expensive dynamic systems. It is specifically designed for nonlinear dynamic systems where full simulations may be costly. The underlying Gaussian process model accounts for temporal dependency through the one-step-ahead formulation, allowing for accurate emulation of complex dynamics. Hyperparameters are estimated via maximum likelihood. For methodological details, see Heo (2025, <doi:10.48550/arXiv.2503.20250>) for exact method, and Mohammadi, Challenor, and Goodfellow (2019, <doi:10.1016/j.csda.2019.05.006>) for Monte Carlo method.

An anonymization algorithm to resist neighbor label attack in a dynamic network.