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RESIDE: Rapid Easy Synthesis to Inform Data Extraction

Developed to assist researchers with planning analysis, prior to obtaining data from Trusted Research Environments (TREs) also known as safe havens. With functionality to export and import marginal distributions as well as synthesise data, both with and without correlations from these marginal distributions. Using a multivariate cumulative distribution (COPULA). Additionally the International Stroke Trial (IST) is included as an example dataset under ODC-By licence Sandercock et al. (2011) <doi:10.7488/ds/104>, Sandercock et al. (2011) <doi:10.1186/1745-6215-12-101>.

Version: 0.3.2
Depends: R (≥ 2.10)
Imports: dplyr, magrittr, bestNormalize, RDP, methods, tibble, simstudy, matrixcalc
Suggests: testthat (≥ 3.0.0), lifecycle, knitr, rmarkdown, DT
Published: 2024-10-17
DOI: 10.32614/CRAN.package.RESIDE
Author: Ryan Field ORCID iD [aut, cre], David McAllister ORCID iD [aut], Claudia Geue ORCID iD [ctb]
Maintainer: Ryan Field <ryan.field at glasgow.ac.uk>
License: GPL (≥ 3)
URL: https://hehta.github.io/RESIDE/
NeedsCompilation: no
Materials: NEWS
CRAN checks: RESIDE results

Documentation:

Reference manual: RESIDE.pdf
Vignettes: The RESIDE Package (source)
Exporting Marginal Distributions (source, R code)
Importing Marginal Distributions (source, R code)
Synthesising Data from Marginals (source, R code)

Downloads:

Package source: RESIDE_0.3.2.tar.gz
Windows binaries: r-devel: RESIDE_0.3.2.zip, r-release: RESIDE_0.3.2.zip, r-oldrel: RESIDE_0.3.2.zip
macOS binaries: r-release (arm64): RESIDE_0.3.2.tgz, r-oldrel (arm64): RESIDE_0.3.2.tgz, r-release (x86_64): RESIDE_0.3.2.tgz, r-oldrel (x86_64): RESIDE_0.3.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RESIDE to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.