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transition

Characterise Transitions in Test Result Status in Longitudinal Studies

https://github.com/mark-eis/transition

Science Score: 26.0%

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Repository

Characterise Transitions in Test Result Status in Longitudinal Studies

Basic Info
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 3
  • Releases: 1
Created 12 months ago · Last pushed 10 months ago
Metadata Files
Readme Changelog License

README.md

Transition

Characterise Transitions in Test Result Status in Longitudinal Studies

Analyse data from longitudinal studies to characterise changes in values of semi-quantitative outcome variables within individual subjects, using high performance C++ code to enable rapid processing of large datasets. A flexible methodology is available for codifying these state transitions.

Installation

You can install the currently-released version from CRAN with this R command:

r install.packages("Transition")

Alternatively, you can install the latest development version of Transition from GitHub with:

``` r

install.packages("devtools")

devtools::install_github("Mark-Eis/Transition")

```

Authors: Mark C. Eisler and Ana V. Rabaza

eMail: Mark.Eisler@bristol.ac.uk, arabaza@pasteur.edu.uy

ORCID = 0000-0001-6843-3345, 0000-0002-9713-0797

Transition Package Overview: –

  • Identify temporal transitions in test results for individual subjects in a longitudinal study with get_transitions().

  • Interpolate these transitions into a data frame for further analysis with add_transitions().

  • Identify the previous test result for individual subjects and timepoints in a longitudinal study with get_prev_result().

  • Interpolate these previous test results into a data frame for further analysis with add_prev_result().

  • Identify the previous test date for individual subjects and timepoints in a longitudinal study get_prev_date().

  • Interpolate these previous test dates into a data frame for further analysis with add_prev_date().

  • Identify unique values for subjects, timepoints and test results in longitudinal study data with uniques().

Methodology

Transition uses high performance C++ code seamlessly integrated into R using Rcpp to enable rapid processing of large longitudinal study datasets.

Disclaimer

While every effort is made to ensure this package functions as expected, the authors accept no responsibility for the consequences of errors.

Owner

  • Name: Mark
  • Login: Mark-Eis
  • Kind: user
  • Location: UK

GitHub Events

Total
  • Create event: 5
  • Release event: 1
  • Issues event: 16
  • Delete event: 1
  • Issue comment event: 7
  • Push event: 82
Last Year
  • Create event: 5
  • Release event: 1
  • Issues event: 16
  • Delete event: 1
  • Issue comment event: 7
  • Push event: 82

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 12
  • Total pull requests: 0
  • Average time to close issues: 14 days
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 0.5
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 12
  • Pull requests: 0
  • Average time to close issues: 14 days
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.5
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • Mark-Eis (12)
Pull Request Authors
Top Labels
Issue Labels
documentation (5) enhancement (4) Better code (3)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 185 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: Transition

Characterise Transitions in Test Result Status in Longitudinal Studies

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 185 Last month
Rankings
Dependent packages count: 26.0%
Dependent repos count: 32.0%
Average: 48.0%
Downloads: 86.1%
Maintainers (1)
mark.eisler@bristol.ac.uk
Last synced: 10 months ago

Dependencies

.github/workflows/rhub.yaml actions
  • r-hub/actions/checkout v1 composite
  • r-hub/actions/platform-info v1 composite
  • r-hub/actions/run-check v1 composite
  • r-hub/actions/setup v1 composite
  • r-hub/actions/setup-deps v1 composite
  • r-hub/actions/setup-r v1 composite
DESCRIPTION cran
  • R >= 4.1.0 depends
  • Rcpp >= 1.0.14 imports
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.5.0 composite
  • actions/checkout v4 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite