Symbolic Representation of Matrix Determinant
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.

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.

Analyze Healthcare Social Media Data from the 'Symplur' API
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/>.
About 'Symplur' research: <https://www.symplur.com/healthcare-social-media-research/>.
Credit to Professor Larry Chu, MD at Stanford University School of Medicine for the idea of the 'SympluR' package.

c(person(given = "Tian",
family = "Gu",
role = c("aut"),
email = "gutian@umich.edu"),
person(given = "Jeremy M.G.",
family = "Taylor",
role = "aut"),
person(given = "Bhramar",
family = "Mukherjee",
role = "aut"),
person(given = "Michael",
family = "Kleinsasser",
role = "cre",
email = "mkleinsa@umich.edu"))
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
<arXiv:2106.06835>.
mice, magrittr, dplyr, StackImpute, arm, boot, broom, mvtnorm,
randomForest, MASS, knitr
Tian Gu [aut],
Jeremy M.G. Taylor [aut],
Bhramar Mukherjee [aut],
Michael Kleinsasser [cre]

Subsample Temporal Data to Synchronal Events and Compute the MCI
c(person("Martin", "Rimmler", role = c("aut", "cre"),
email = "martin.rimmler@gmail.com"),
person("Thomas", "Mueller", role = "aut"))
The function 'syncSubsample' subsamples temporal data of different entities so that the result only contains synchronal events. The function 'mci' calculates the Movement Coordination Index (MCI, see reference on help page for function 'mci') of a data set created with the function 'syncSubsample'.
Martin Rimmler [aut, cre],
Thomas Mueller [aut]