Package: BioPred 1.0.2

Zihuan Liu
BioPred: An R Package for Biomarkers Analysis in Precision Medicine
Provides functions for training extreme gradient boosting model using propensity score A-learning and weight-learning methods. For further details, see Liu et al. (2024) <doi:10.1093/bioinformatics/btae592>.
Authors:
BioPred_1.0.2.tar.gz
BioPred_1.0.2.tar.gz(r-4.7-any)BioPred_1.0.2.tar.gz(r-4.6-any)
BioPred_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BioPred/json (API)
| # Install 'BioPred' in R: |
| install.packages('BioPred', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- tutorial_data - Tutorial Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:4069efa5d7. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 195 | ||
| source / vignettes | OK | 244 | ||
| linux-release-x86_64 | OK | 194 | ||
| wasm-release | OK | 180 |
Exports:cat_summarycdf_plotcut_perfeval_metric_bineval_metric_coneval_metric_surfixcut_binfixcut_confixcut_surgam_ctr_plotgam_plotget_subgroup_resultspredictive_biomarker_improc_binroc_bin_plotscat_cont_plotsubgrp_perfsubgrp_perf_predXGBoostSub_binXGBoostSub_conXGBoostSub_sur
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecommonmarkcorrplotcowplotcpp11curldata.tableDerivdoBydplyrexactRankTestsfarverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifggtextgluegridExtragridtextgtableisobandjpegjsonlitelabelinglatticelifecyclelitedownlme4lmtestmagrittrmarkdownMASSMatrixMatrixModelsmaxstatmgcvminqamodelrmomentsmvtnormnlmenloptrnnetnortestnumDerivonewaytestspbkrtestpillarpkgconfigpngpolynompROCPropCIspurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7scalesSparseMstringistringrsurvivalsurvminertibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewesandersonwithrxfunxgboostxml2zoo