Package: RESIDE 0.3.3

Ryan Field

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>.

Authors:Ryan Field [aut, cre], David McAllister [aut], Claudia Geue [ctb]

RESIDE_0.3.3.tar.gz
RESIDE_0.3.3.zip(r-4.7-any)RESIDE_0.3.3.zip(r-4.6-any)RESIDE_0.3.3.zip(r-4.5-any)
RESIDE_0.3.3.tgz(r-4.6-any)RESIDE_0.3.3.tgz(r-4.5-any)
RESIDE_0.3.3.tar.gz(r-4.7-any)RESIDE_0.3.3.tar.gz(r-4.6-any)
RESIDE_0.3.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RESIDE/json (API)

# Install 'RESIDE' in R:
install.packages('RESIDE', repos = c('https://hehta.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hehta/reside/issues

Pkgdown/docs site:https://hehta.github.io

Datasets:
  • IST - IST Dataset

On CRAN:

Conda:

4.40 score 1 stars 5 scripts 217 downloads 7 exports 95 dependencies

Last updated from:8e76733ecf. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK216
source / vignettesOK221
linux-release-x86_64OK234
macos-release-arm64OK172
macos-oldrel-arm64OK262
windows-develOK171
windows-releaseOK157
windows-oldrelOK170
wasm-releaseOK146

Exports:export_empty_cor_matrixexport_marginal_distributionsget_marginal_distributionsimport_cor_matriximport_marginal_distributionssynthesise_datasynthesize_data

Dependencies:backportsbestNormalizeBHbigmemorybigmemory.sributcherclasscliclockcodetoolscpp11crayondata.tablediagramdigestdoParalleldoRNGdplyrfarverfastglmforeachFormulafuturefuture.applygenericsggplot2globalsgluegowergtablehardhathmsipredisobanditeratorsKernSmoothlabelingLambertWlamWlatticelavalifecyclelistenvlobstrlubridatemagrittrMASSMatrixmatrixcalcmvnfastnnetnortestnumDerivparallellypbvpillarpkgconfigplyrprettyunitsprodlimprogressprogressrpurrrR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRDPrecipesreshape2rlangrngtoolsrpartS7scalesshapesimstudysparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8uuidvctrsviridisLitewithr

Exporting Marginal Distributions
Obtaining Marginal Distributions | Printing the Marginal Distributions Prior to Export | Files created by export_marginal_distributions()
Rendered fromexporting_marginal_distributions.Rmdusingknitr::rmarkdown

Last update: 2024-10-18
Started: 2024-10-18

Synthesising Data from Marginal Distributions
Without Correlations | With correlations
Rendered fromsynthesising_data.Rmdusingknitr::rmarkdown

Last update: 2024-10-18
Started: 2024-10-10

The RESIDE Package
Introduction | Methods | For TRE's | Generating Marginal Distributions | Exporting Marginal Distributions | For End Users | Importing Marginal Distributions | Data Simulation | Limitations | Binary Variables | Categorical Variables | Correlations
Rendered fromRESIDE.Rmdusingknitr::rmarkdown

Last update: 2024-10-18
Started: 2024-10-10

Worked Example Using the IST Dataset
Introduction | Setup | Summarise original data | Fit a cox model on the original data | Get the marginal distributions | Export the marginal distributions | Reimport marginal distributions | Synthesise data from marginal distributions (without correlations) | Summarise the synthesised data | Fit a cox model on the simulated data | Synthesise data with correlations | Fit a cox model on the simulated data with correlations
Rendered fromworked_example.Rmdusingknitr::rmarkdown

Last update: 2024-10-18
Started: 2024-10-18

Importing Marginal Distributions
Rendered fromimporting_marginal_distributions.Rmdusingknitr::rmarkdown

Last update: 2024-10-10
Started: 2024-10-10