Computes the Jackknife Mutual Information (JMI) between two random vectors and provides the p-value for dependence tests. See Zeng, X., Xia, Y. and Tong, H. (2018) <doi:10.1073/pnas.1715593115>.

Implements time series z-normalization, SAX, HOT-SAX, VSM, SAX-VSM, RePair, and RRA
    algorithms for time series discord (anomaly) discovery, grammatical compression, and
    interpretable time series classification.

Implements interpretable multi-biomarker fusion in joint 
    longitudinal-survival models via semi-parametric association surfaces.
    Provides a two-stage estimation framework where Stage 1 fits mixed-effects 
    longitudinal models and extracts Best Linear Unbiased Predictors ('BLUP's), 
    and Stage 2 fits transition-specific penalized Cox models with 
    tensor-product spline surfaces linking latent biomarker summaries to 
    transition hazards. Supports multi-state disease processes with 
    transition-specific surfaces, Restricted Maximum Likelihood ('REML') 
    smoothing parameter selection, effective degrees of freedom ('EDF') 
    diagnostics, dynamic prediction of transition probabilities, and three 
    interpretability visualizations (surface plots, contour heatmaps, 
    marginal effect slices).
    Methods are described in Bhattacharjee (2025, under review).

Performs a permutation test on the difference between two location parameters, a permutation correlation test, a permutation F-test, the Siegel-Tukey test, a ratio mean deviance test.  Also performs some graphing techniques, such as for confidence intervals, vector addition, and Fourier analysis; and includes functions related to the Laplace (double exponential) and triangular distributions.  Performs power calculations for the binomial test.

A suite of common statistical methods such as descriptives,
    t-tests, ANOVAs, regression, correlation matrices, proportion tests,
    contingency tables, and factor analysis. This package is also useable from
    the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more
    information).