A collection of functions for symbolic computation using the
			 'caracas' package for structural equation models and other
			 statistical analyses. Among its features is the ability
			 to calculate the model-implied covariance (and correlation)
			 matrix and the sampling covariance matrix of variable functions
			 using the delta method.

Provides symmetric matrix and tensor operations and decomposition
    algorithms including symmetric NMF (symNMF), PageRank, Label Propagation,
    Higher-order Power Method, and TOPHITS. Designed to work with 'rTensor'
    objects. Methods are described in Kuang et al. (2012)
    <doi:10.1137/1.9781611972825.10>, Kolda and Mayo (2011)
    <doi:10.1137/100801482>, and Kolda and Bader (2006)
    <doi:10.1137/1.9781611972764.26>.

Contains methods for simulation and for evaluating the pdf, cdf, and quantile functions for symmetric stable, symmetric classical tempered stable, and symmetric power tempered stable distributions.

Generates synonyms from a given word drawing from a synonym list
    from the 'moby' project <http://moby-thesaurus.org/>.

Generates synthetic ADaM (Analysis Data Model) datasets from real
    clinical trial data. Preserves the structure of real datasets (column names,
    value ranges, relationships between treatment and flag columns) while removing
    identifiable patient information. Supports subject-level (ADSL), longitudinal
    (BDS), occurrence (OCCDS), and time-to-event (TTE) dataset types.

Compare directories flexibly (by date, content, or both) and synchronize files efficiently, with asymmetric and symmetric modes, helper tools, and visualization support for file management.

Methods for computing spatial, temporal, and spatiotemporal
    statistics as described in Gouhier and Guichard (2014) 
    <doi:10.1111/2041-210X.12188>. These methods include 
    empirical univariate, bivariate and multivariate
    variograms; fitting variogram models; phase locking and synchrony analysis;
    generating autocorrelated and cross-correlated matrices.