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tipmap
View on CRAN: Click
here
Download and install tipmap package within the R console
Install from CRAN:
install.packages("tipmap")
Install from Github:
library("remotes")
install_github("cran/tipmap") Install by package version:
library("remotes")
install_version("tipmap", "0.5.2") Attach the package and use:
library("tipmap")
Maintained by
Christian Stock
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-01
Latest Update: 2023-08-14
Description:
Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Further functions facilitate expert elicitation of a primary weight of the informative component of the robust MAP prior and computation of operating characteristics. Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.
How to cite:
Christian Stock (2022). tipmap: Tipping Point Analysis for Bayesian Dynamic Borrowing. R package version 0.5.2, https://cran.r-project.org/web/packages/tipmap. Accessed 25 Jun. 2026.
Previous versions and publish date:
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View tipmap citation profile
Other R packages that tipmap depends,
imports, suggests or enhances
Complete documentation for tipmap
Functions, R codes and Examples using
the tipmap R package
Some associated functions: create_new_trial_data . create_posterior_data . create_prior_data . create_tipmap_data . default_quantiles . default_weights . draw_beta_mixture_nsamples . fit_beta_1exp . fit_beta_mult_exp . get_cum_probs_1exp . get_model_input_1exp . get_posterior_by_weight . get_summary_mult_exp . get_tipping_points . load_tipmap_data . oc_bias . oc_coverage . oc_pos . tipmap-package . tipmap_darkblue . tipmap_lightred . tipmap_plot .
Some associated R codes: create_new_trial_data.R . create_posterior_data.R . create_prior_data.R . create_tipmap_data.R . draw_beta_mixture_nsamples.R . fit_beta_1exp.R . fit_beta_mult_exp.R . get_cum_probs_1exp.R . get_model_input_1exp.R . get_posterior_by_weight.R . get_summary_mult_exp.R . get_tipping_points.R . globals.R . load_tipmap_data.R . oc_bias.R . oc_coverage.R . oc_pos.R . tipmap-package.R . tipmap_plot.R . Full tipmap package functions and examples
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