Package: EQUALPrognosis 0.1.3
Kurinchi Gurusamy
EQUALPrognosis: Analysing Prognostic Studies
Functions that help with analysis of prognostic study data. This allows users with little experience of developing models to develop models and assess the performance of the prognostic models. This also summarises the information, so the performance of multiple models can be displayed simultaneously. This minor update fixes issues related to memory requirements with large number of simulations and deals with situations when there is overfitting of data. Gurusamy, K (2026)<https://github.com/kurinchi2k/EQUALPrognosis>.
Authors:
EQUALPrognosis_0.1.3.tar.gz
EQUALPrognosis_0.1.3.tar.gz(r-4.7-any)EQUALPrognosis_0.1.3.tar.gz(r-4.6-any)
EQUALPrognosis_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
EQUALPrognosis/json (API)
| # Install 'EQUALPrognosis' in R: |
| install.packages('EQUALPrognosis', repos = c('https://cran.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 from:3f0a3e22c2. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 250 | ||
| source / vignettes | OK | 212 | ||
| linux-release-x86_64 | OK | 192 | ||
| wasm-release | OK | 224 |
Exports:calculate_actual_predictedcalculate_performancecompile_resultscreate_generic_input_parameterscreate_specific_input_parametersget_outcome_status_at_specific_timeguess_data_typesperform_analysisprepare_datasetsprocess_data
Dependencies:abindarmbackportsbase64encbitbit64blmebootbroombroom.mixedbslibcachemCalibrationCurvescheckmateclicliprclustercmprskcodacodetoolscolorspacecommonmarkCompQuadFormcpp11crayondata.tablediagramdigestdoParalleldplyrevaluatefarverfastmapfontawesomeforcatsforeachforeignFormulafsfurrrfuturefuture.applygenericsggplot2glmnetglobalsgluegridExtragtablehighrHmischmshtmlTablehtmltoolshtmlwidgetshttpuvisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlme4magrittrMASSmathjaxrMatrixMatrixModelsmemoisemerToolsmetametabookmetadatmetaformetsmimeminqamultcompmvtnormnlmenloptrnnetnumDerivotelparallellypbapplypecpillarpkgconfigplotrixpolsplinepredtoolsprettyunitspROCprodlimprogressprogressrpromisesPublishpurrrquantregR6rangerrappdirsrbibutilsRColorBrewerRConicsRcppRcppArmadilloRcppEigenRdpackreadrreformulasriskRegressionrlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesshapeshinysourcetoolsSparseMSQUAREMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeregtinytextzdbutf8vctrsviridisLitevroomwithrxfunxml2xtableyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate actual and predicted values | calculate_actual_predicted |
| Calculate performance of prognostic models | calculate_performance |
| Run the analysis and compile the results. | compile_results |
| Create generic input parameters | create_generic_input_parameters |
| Create specific input parameters | create_specific_input_parameters |
| Get outcome status at specific time | get_outcome_status_at_specific_time |
| Guess data types | guess_data_types |
| Perform analysis | perform_analysis |
| Prepare simulated datasets from the entire dataset | prepare_datasets |
| Process the data | process_data |