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OncoBayes2  

Bayesian Logistic Regression for Oncology Dose-Escalation Trials
View on CRAN: Click here


Download and install OncoBayes2 package within the R console
Install from CRAN:
install.packages("OncoBayes2")

Install from Github:
library("remotes")
install_github("cran/OncoBayes2")

Install by package version:
library("remotes")
install_version("OncoBayes2", "0.8-9")



Attach the package and use:
library("OncoBayes2")
Maintained by
Sebastian Weber
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-29
Latest Update: 2023-07-20
Description:
Bayesian logistic regression model with optional EXchangeability-NonEXchangeability parameter modelling for flexible borrowing from historical or concurrent data-sources. The safety model can guide dose-escalation decisions for adaptive oncology Phase I dose-escalation trials which involve an arbitrary number of drugs. Please refer to Neuenschwander et al. (2008) and Neuenschwander et al. (2016) for details on the methodology.
How to cite:
Sebastian Weber (2019). OncoBayes2: Bayesian Logistic Regression for Oncology Dose-Escalation Trials. R package version 0.8-9, https://cran.r-project.org/web/packages/OncoBayes2
Previous versions and publish date:
0.4-4 (2019-08-29 09:30), 0.5-3 (2019-11-15 22:20), 0.5-4 (2019-11-19 10:50), 0.5-8 (2019-12-12 15:50), 0.6-0 (2020-02-11 14:50), 0.6-3 (2020-03-19 19:00), 0.6-4 (2020-04-07 18:30), 0.6-5 (2020-05-07 16:50), 0.7-0 (2021-05-07 21:30), 0.8-1 (2021-09-02 19:00), 0.8-2 (2021-09-14 12:10), 0.8-4 (2022-02-18 16:00), 0.8-5 (2022-03-01 16:40), 0.8-6 (2022-05-02 13:30), 0.8-7 (2022-08-25 14:42), 0.8-8 (2023-03-03 23:50)
Other packages that cited OncoBayes2 R package
View OncoBayes2 citation profile
Other R packages that OncoBayes2 depends, imports, suggests or enhances
Functions, R codes and Examples using the OncoBayes2 R package
Some associated functions: OncoBayes2 . bind_rows_0 . blrm_exnex . blrm_formula_linear . blrm_formula_saturating . blrm_trial . codata_combo2 . critical_quantile . diagnostic-quantities . dose_info_combo2 . dot-get_X . dot-get_strata_group_fct . dot-label_index . dot-validate_group_stratum_nesting . drug_info_combo2 . example-combo2 . example-combo2_trial . example-combo3 . example-single-agent . example_model . hist_SA . hist_combo2 . hist_combo3 . lodds . log_inv_logit . log_mean_exp . nsamples.blrmfit . plot_blrm . posterior_interval.blrmfit . posterior_linpred.blrmfit . posterior_predict.blrmfit . pp_data . predictive_interval.blrmfit . prior_summary.blrmfit . summary.blrm_trial . summary.blrmfit . update.blrm_trial . update.blrmfit . 
Some associated R codes: OncoBayes2-package.R . RcppExports.R . bind_rows_0.R . blrm_exnex.R . blrm_formula_linear.R . blrm_formula_saturating.R . blrm_trial.R . codata_combo2.R . critical_quantile.R . diagnostics.R . dose_info_combo2.R . drug_info_combo2.R . example_combo2.R . example_combo2_trial.R . example_combo3.R . example_model.R . example_single_agent.R . hist_SA.R . hist_combo2.R . hist_combo3.R . lodds.R . log_sum_exp.R . nsamples.R . plot_blrm.R . posterior_interval.R . posterior_linpred.R . posterior_predict.R . pp_data.R . predictive_interval.R . prior_summary.R . stanmodels.R . summary.R . update.R . utils.R . zzz.R .  Full OncoBayes2 package functions and examples
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