Title: Confounding Robust Independent Component Analysis for Noisy and
Author: Niklas Pfister and Sebastian Weichwald
Description: Contains an implementation of a confounding robust independent component analysis (ICA) for noisy and grouped data. The main function coroICA() performs a blind source separation, by maximizing an independence across sources and allows to adjust for varying confounding based on user-specified groups. Additionally, the package contains the function uwedge() which can be used to approximately jointly diagonalize a list of matrices. For more details see the project website <https://sweichwald.de/coroICA/>.

Title: Coronavirus ('Rona') Data Exploration
Imports: gganimate, ggplot2, gridExtra, qicharts2, reshape2
Maintainer: Jo van Schalkwyk <jvanschalkwyk@gmail.com>
Description: Manipulate and view coronavirus data and other societally relevant data at a basic level.
Author: Jo van Schalkwyk [aut, cre] (<https://orcid.org/0000-0002-0082-5243>)

Title: The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Dataset
Description: Provides a daily summary of the Coronavirus (COVID-19) cases by state/province. Data source: Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus <https://systems.jhu.edu/research/public-health/ncov/>.
Suggests: dplyr, knitr, rmarkdown, devtools, remotes, testthat (>=
Packaged: 2020-02-17 05:13:54 UTC; ramikrispin

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Packaged: 2021-01-23 21:38:39 UTC; ramikrispin

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Packaged: 2021-05-29 04:14:49 UTC; ramikrispin

Suggests: DT, dplyr, knitr, plotly, readr, rmarkdown, remotes, testthat
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Packaged: 2022-06-24 12:33:59 UTC; ramikrispin