Title: Systematic Scenario Selection for Stress Testing

Title: Symmetric Tempered Stable Distributions
Author: Michael Grabchak <mgrabcha@uncc.edu> and Lijuan Cao <lcao2@uncc.edu>
Description: 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.

Title: Symbolic Representation of the Determinant of a Square Matrix
Authors@R: c(person("William","Fairweather", role = c("aut", "cre"),
Description: Produces the formula for calculating the determinant, as a function
of the elements of the matrix.  This formula is called the symbolic representation
of the determinant.  In other words, for the 2x2 matrix V we want a function to
return 'v11v22 – v12v21' for an unstructured, general 2x2 matrix and 'v11v22 – v12^2'
for a symmetric 2x2 matrix, and not the numeric values for a particular numeric matrix.

Title: Symbolic Representation of Matrix Determinant
Description: Creates a guide for writing the formula for the determinant of a square matrix (a detguide) as a function of the elements of the matrix and writes out that formula, the symbolic representation.

Description: Creates a numeric guide for writing the formula for the determinant of a square matrix (a detguide) as a function of the elements of the matrix and writes out that formula, the symbolic representation.

Title: Analyze Healthcare Social Media Data from the 'Symplur' API
Description: Analyze data from the 'Healthcare Social Graph' via access to the 'Symplur' API.
The 'Healthcare Social Graph' contains billions of healthcare social media data points. Hundreds of published journal articles have leveraged data from the 'Healthcare Social Graph'.
About the 'Symplur' API: <https://api.symplur.com/v1/docs/>.
Credit to Professor Larry Chu, MD at Stanford University School of Medicine for the idea of the 'SympluR' package.

Description: Regression inference for multiple populations by integrating
summary-level data using stacked imputations. Gu, T., Taylor, J.M.G. and
Mukherjee, B. (2021) A synthetic data integration framework to leverage
external summary-level information from heterogeneous populations
Imports: mice, magrittr, dplyr, StackImpute, arm, boot, broom, mvtnorm,