Package: clintools 0.9.10.2
clintools: Tools for Clinical Research
Every research team have their own script for data management, statistics and most importantly hemodynamic indices. The purpose is to standardize scripts utilized in clinical research. The hemodynamic indices can be used in a long-format dataframe, and add both periods of interest (trigger-periods), and delete artifacts with deleter-files. Transfer function analysis (Claassen et al. (2016) <doi:10.1177/0271678X15626425>) and Mx (Czosnyka et al. (1996) <doi:10.1161/01.str.27.10.1829>) can be calculated using this package.
Authors:
clintools_0.9.10.2.tar.gz
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clintools_0.9.10.2.tgz(r-4.4-any)clintools_0.9.10.2.tgz(r-4.3-any)
clintools_0.9.10.2.tar.gz(r-4.5-noble)clintools_0.9.10.2.tar.gz(r-4.4-noble)
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clintools.pdf |clintools.html✨
clintools/json (API)
NEWS
| # Install 'clintools' in R: |
| install.packages('clintools', repos = c('https://lilleoel.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lilleoel/clintools/issues
- df.data10 - Test-data - 10 Hz
- df.data1000 - Test-data - 1000 Hz
- df.deleter - Test-deleter
- tfa_sample_data - TFA sample data
- tfa_sample_data_1 - TFA sample data - 1
- tfa_sample_data_2 - TFA sample data - 2
Last updated 7 days agofrom:d16e77916c. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | NOTE | Oct 30 2024 |
| R-4.5-linux | NOTE | Oct 30 2024 |
| R-4.4-win | NOTE | Oct 30 2024 |
| R-4.4-mac | NOTE | Oct 30 2024 |
| R-4.3-win | NOTE | Oct 30 2024 |
| R-4.3-mac | NOTE | Oct 30 2024 |
Exports:calcrelcdm.figcdm.misscdm.statusclinmoncomparereldanishcprdilationsiscusortablePLR3000questionairequietlyrecolrowMediansrrGcompsRCTtblTFA
Dependencies:abindbackportsbayestestRbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11datawizardDerivdigestdoBydplyrfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableinsightirrisobandlabelinglatticelifecyclelme4lpSolvemagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpanderparameterspbkrtestpillarpkgconfigplyrpolynompROCpurrrquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalessignalSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrxml2
