Package: riskPredictClustData 0.2.6
riskPredictClustData: Assessing Risk Predictions for Clustered Data
Assessing and comparing risk prediction rules for clustered data. The method is based on the paper: Rosner B, Qiu W, and Lee MLT.(2013) <doi:10.1007/s10985-012-9240-6>.
Authors:
riskPredictClustData_0.2.6.tar.gz
riskPredictClustData_0.2.6.zip(r-4.5)riskPredictClustData_0.2.6.zip(r-4.4)riskPredictClustData_0.2.6.zip(r-4.3)
riskPredictClustData_0.2.6.tgz(r-4.4-any)riskPredictClustData_0.2.6.tgz(r-4.3-any)
riskPredictClustData_0.2.6.tar.gz(r-4.5-noble)riskPredictClustData_0.2.6.tar.gz(r-4.4-noble)
riskPredictClustData_0.2.6.tgz(r-4.4-emscripten)riskPredictClustData_0.2.6.tgz(r-4.3-emscripten)
riskPredictClustData.pdf |riskPredictClustData.html✨
riskPredictClustData/json (API)
NEWS
# Install 'riskPredictClustData' in R: |
install.packages('riskPredictClustData', repos = c('https://weiliang.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:f2c67a5c73. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | NOTE | Nov 04 2024 |
R-4.5-linux | NOTE | Nov 04 2024 |
R-4.4-win | NOTE | Nov 04 2024 |
R-4.4-mac | NOTE | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Exports:genSimDataGLMEMgetScorepowerCalpowerCalDatariskPredictriskPredictDiff
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsgeeggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellmvtnormnlmennetpillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Generate simulated data from logistic mixed effects model based on the AMD data | genSimDataGLMEM |
Get data frame for the function riskPredict | getScore |
Calculate the power for testing delta=0 | powerCal |
Calculate the power for testing delta=0 based on a dataset | powerCalData |
Assessing risk prediction performance for clustered data | riskPredict |
Difference of two risk prediction rules for clustered data | riskPredictDiff |