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stRoke R package

Name: stRoke R package
Creator: Damsbo, Andreas G
Keywords: R, 3. Good health

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 24 Jan 2023Publisher:Zenodo

Authors: Damsbo, Andreas G;

doi: 10.5281/zenodo.7572022 , 10.5281/zenodo.7572023

stRoke R package

- Summary
- Subjects
- Metrics

Abstract

This is an R-toolbox of custom functions for convenient data management and analysis in clinical health research and teaching. The package is mainly collected for personal use, but any use beyond that is encouraged. This package has migrated functions from 'agdamsbo/daDoctoR', and new functions has been added. Version follows months and year. See NEWS/Changelog for release notes. This package includes sampled data from the TALOS trial (Kraglund et al (2018) <doi:10.1161/STROKEAHA.117.020067>). The win_prob() function is based on work by Zou et al (2022) <doi:10.1161/STROKEAHA.121.037744>. The age_calc() function is based on work by Becker (2020) <doi:10.18637/jss.v093.i02>.

Keywords

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average