Authors@R: c(person("Pete", "Mohanty", role = c("aut", "cre"), email = "pete.mohanty@gmail.com", comment = c(ORCID = "0000-0002-4985-5160")),
person("Robert", "Shaffer", role = "aut", email = "shafferr@upenn.edu", comment = c(ORCID = "0000-0002-2081-2407")))
Author: Pete Mohanty [aut, cre] (<https://orcid.org/0000-0002-4985-5160>),

Authors@R: c(person("Pete", "Mohanty", role = c("aut", "cre"), email = "pete.mohanty@gmail.com", comment = c(ORCID = "0000-0001-8531-3345")),
Packaged: 2019-08-02 18:35:18 UTC; rbshaffer
Author: Pete Mohanty [aut, cre] (<https://orcid.org/0000-0001-8531-3345>),

person(given="Joan", family="Garriga", email="jgarriga@ceab.csic.es", role=c("aut", "cre")),
Description: Unsupervised clustering protocol for large scale structured data, based on a low dimensional representation of the data. Dimensionality reduction is performed using a parallelized implementation of the t-Stochastic Neighboring Embedding algorithm (Garriga J. and Bartumeus F. (2018), <arXiv:1812.09869>).
Suggests: snow (>= 0.4-2), Rmpi (>= 0.6-7), knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, BH, bigmemory

Title: Quadratic Forms in Large Matrices
Description: A computationally-efficient leading-eigenvalue approximation to tail probabilities and quantiles of large quadratic forms, in particular for the Sequence Kernel Association Test (SKAT) used in genomics <doi:10.1002/gepi.22136>. Also provides stochastic singular value decomposition for dense or sparse matrices.
Imports: svd, CompQuadForm, Matrix, stats, coxme

Title: Interface with Google BigQuery with Shiny Compatibility
Authors@R: c(person("Mark", "Edmondson",email = "r@sunholo.com",
person("Hadley", "Wickham", , "hadley@rstudio.com", role = "ctb")
Description: Interface with Google BigQuery,
see <https://cloud.google.com/bigquery/> for more information.
This package uses 'googleAuthR' so is compatible with similar packages,
including Google Cloud Storage (<https://cloud.google.com/storage/>) for result extracts.

Description: Interface with 'Google BigQuery',
including 'Google Cloud Storage' (<https://cloud.google.com/storage/>) for result extracts.
Imports: googleAuthR (>= 0.3.1), googleCloudStorageR