Other packages > Find by keyword >

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", "0.10-0")



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: 2025-04-25
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 0.10-0, https://cran.r-project.org/web/packages/OncoBayes2. Accessed 20 Oct. 2026.
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), 0.8-9 (2023-07-20 20:40), 0.9-0 (2025-03-02 00:20), 0.9-1 (2025-03-17 20:10), 0.9-2 (2025-04-07 16:40), 0.9-3 (2025-04-25 19:20), 0.9-4 (2025-12-18 13:10), (2026-08-04 23:30)
Other packages that cited OncoBayes2 R package
View OncoBayes2 citation profile
Other R packages that OncoBayes2 depends, imports, suggests or enhances
Complete documentation for OncoBayes2
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

bgeva  
Binary Generalized Extreme Value Additive Models
Routine for fitting regression models for binary rare events with linear and nonlinear covariate eff ...
Download / Learn more Package Citations See dependency  
MOTE  
Effect Size and Confidence Interval Calculator
Measure of the Effect ('MOTE') is an effect size calculator, including a wide variety of effect siz ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
EvalEst  
Dynamic Systems Estimation - Extensions
Provides functions for evaluating (time series) model estimation methods. These facilitate Monte Ca ...
Download / Learn more Package Citations See dependency  
conStruct  
Models Spatially Continuous and Discrete Population Genetic Structure
A method for modeling genetic data as a combination of discrete layers, within each of which relate ...
Download / Learn more Package Citations See dependency  
ISR  
The Iterated Score Regression-Based Estimation
Algorithm to handle with PCA-based missing data, where ISR is for PCA-based missing data with high c ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

76,898

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA