Package: bonsaiforest 0.1.1
Isaac Gravestock
bonsaiforest: Shrinkage Based Forest Plots
Subgroup analyses are routinely performed in clinical trial analyses. From a methodological perspective, two key issues of subgroup analyses are multiplicity (even if only predefined subgroups are investigated) and the low sample sizes of subgroups which lead to highly variable estimates, see e.g. Yusuf et al (1991) <doi:10.1001/jama.1991.03470010097038>. This package implements subgroup estimates based on Bayesian shrinkage priors, see Carvalho et al (2019) <https://proceedings.mlr.press/v5/carvalho09a.html>. In addition, estimates based on penalized likelihood inference are available, based on Simon et al (2011) <doi:10.18637/jss.v039.i05>. The corresponding shrinkage based forest plots address the aforementioned issues and can complement standard forest plots in practical clinical trial analyses.
Authors:
bonsaiforest_0.1.1.tar.gz
bonsaiforest_0.1.1.tar.gz(r-4.5-noble)bonsaiforest_0.1.1.tar.gz(r-4.4-noble)
bonsaiforest_0.1.1.tgz(r-4.4-emscripten)bonsaiforest_0.1.1.tgz(r-4.3-emscripten)
bonsaiforest.pdf |bonsaiforest.html✨
bonsaiforest/json (API)
NEWS
| # Install 'bonsaiforest' in R: |
| install.packages('bonsaiforest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/insightsengineering/bonsaiforest/issues
- design_dummy1 - Design Dummy Subgroup x_1a
- design_matrix1 - Design Matrix Subgroup x_1a
- elastic_net_fit_bin - Elastic Net Fit Binary
- elastic_net_fit_surv - Elastic Net Fit Survival
- elastic_net_surv - H0, Coefficients Elastic Net Survival Model and Matrices
- est_coef_bin1 - Estimated coefficients elastic net Binary
- example_data - Example data
- horseshoe_fit_bin - Horseshoe Fit Binary
- horseshoe_fit_surv - Horseshoe Fit Survival
- naive_fit_bin - Naive Fit Binary
- naive_fit_surv - Naive Fit Survival
- naivepop_fit_bin - Naivepop Fit Binary
- naivepop_fit_surv - Naivepop Fit Survival
Last updated 29 days agofrom:ca4e0b4513. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 28 2024 |
| R-4.5-linux-x86_64 | OK | Sep 28 2024 |
Exports:ahr_estimationahr_from_kmcompareelastic_netgenerate_stacked_datahorseshoelor_estimationnaivenaivepoppreprocesssimul_covariatessimul_datasimul_pfssubgroupssurvival_curvestrt_horseshoe
Dependencies:abindbackportsbase64encbayesplotBHbridgesamplingbriobrmsBrobdingnagbroomcallrcheckmateclicodacodetoolscolorspacecpp11crayondescdiffobjdigestdistributionaldplyrevaluatefansifarverfastmapforcatsforeachfsfuturefuture.applygbmgenericsggplot2ggridgesglmnetglobalsgluegridExtragtablehtmltoolsinlineisobanditeratorsjsonlitelabelinglatticelifecyclelistenvloomagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnleqslvnlmenumDerivparallellypillarpkgbuildpkgconfigpkgloadplyrposteriorpraiseprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrematch2reshape2rlangrprojrootrstanrstantoolsscalesshapesplines2StanHeadersstringistringrsurvivaltensorAtestthattibbletidyrtidyselectutf8vctrsvdiffrviridisLitewaldowithrxml2
