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-4.5-noble)BioPred_1.0.2.tar.gz(r-4.4-noble)
BioPred_1.0.2.tgz(r-4.4-emscripten)BioPred_1.0.2.tgz(r-4.3-emscripten)
BioPred.pdf |BioPred.html✨
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 2 days agofrom:4069efa5d7. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-linux | OK | Nov 05 2024 |
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.tableDerivdoBydplyrevaluateexactRankTestsfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifggtextgluegridExtragridtextgtablehighrisobandjpegjsonlitekm.ciKMsurvknitrlabelinglatticelifecyclelme4magrittrmarkdownMASSMatrixMatrixModelsmaxstatmgcvmicrobenchmarkminqamodelrmomentsmunsellmvtnormnlmenloptrnnetnortestnumDerivonewaytestspbkrtestpillarpkgconfigplyrpngpolynompROCPropCIspurrrquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalesSparseMstringistringrsurvivalsurvminersurvMisctibbletidyrtidyselectutf8vctrsviridisLitewesandersonwithrxfunxgboostxml2xtableyamlzoo