Other packages > Find by keyword >

escalation  

A Modular Approach to Dose-Finding Clinical Trials
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("escalation", "0.2.3")



Attach the package and use:
library("escalation")
Maintained by
Kristian Brock
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-08
Latest Update: 2024-06-27
Description:
Methods for working with dose-finding clinical trials. We provide implementations of many dose-finding clinical trial designs, including the continual reassessment method (CRM) by O'Quigley et al. (1990) , the toxicity probability interval (TPI) design by Ji et al. (2007) , the modified TPI (mTPI) design by Ji et al. (2010) , the Bayesian optimal interval design (BOIN) by Liu & Yuan (2015) , EffTox by Thall & Cook (2004) ; the design of Wages & Tait (2015) , and the 3+3 described by Korn et al. (1994) . All designs are implemented with a common interface. We also offer optional additional classes to tailor the behaviour of all designs, including avoiding skipping doses, stopping after n patients have been treated at the recommended dose, stopping when a toxicity condition is met, or demanding that n patients are treated before stopping is allowed. By daisy-chaining together these classes using the pipe operator from 'magrittr', it is simple to tailor the behaviour of a dose-finding design so it behaves how the trialist wants. Having provided a flexible interface for specifying designs, we then provide functions to run simulations and calculate dose-paths for future cohorts of patients.
How to cite:
Kristian Brock (2020). escalation: A Modular Approach to Dose-Finding Clinical Trials. R package version 0.2.3, https://cran.r-project.org/web/packages/escalation. Accessed 01 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:36), 0.1.1 (2020-03-08 18:10), 0.1.2 (2020-04-14 17:10), 0.1.3 (2020-05-13 01:40), 0.1.4 (2020-10-18 23:40), 0.1.5 (2023-05-29 20:10), 0.1.8 (2024-02-23 17:50), 0.1.9 (2024-05-22 19:10), 0.1.10 (2024-06-27 13:50)
Other packages that cited escalation R package
View escalation citation profile
Other R packages that escalation depends, imports, suggests or enhances
Complete documentation for escalation
Functions, R codes and Examples using the escalation R package
Some associated functions: as_tibble.dose_paths . calculate_probabilities . cohort . cohorts_of_n . continue . crystallised_dose_paths . demand_n_at_dose . dont_skip_doses . dose_admissible . dose_indices . dose_paths . dose_paths_function . doses_given . eff . eff_at_dose . eff_limit . empiric_eff_rate . empiric_tox_rate . enforce_three_plus_three . escalation-package . fit . follow_path . get_boin . get_dfcrm . get_dose_paths . get_empiric_crm_skeleton_weights . get_mtpi . get_mtpi2 . get_random_selector . get_three_plus_three . get_tpi . get_trialr_crm . get_trialr_efftox . get_trialr_nbg . get_wages_and_tait . graph_paths . is_randomising . mean_prob_eff . mean_prob_tox . median_prob_eff . median_prob_tox . model_frame . n_at_dose . n_at_recommended_dose . num_cohort_outcomes . num_dose_path_nodes . num_doses . num_eff . num_patients . num_tox . parse_phase1_2_outcomes . parse_phase1_outcomes . phase1_2_outcomes_to_cohorts . phase1_outcomes_to_cohorts . prob_administer . prob_eff_quantile . prob_recommend . prob_tox_exceeds . prob_tox_quantile . prob_tox_samples . recommended_dose . select_boin_mtd . select_dose_by_cibp . selector . selector_factory . simulate_trials . simulation_function . simulations . spread_paths . stop_at_n . stop_when_n_at_dose . stop_when_too_toxic . stop_when_tox_ci_covered . supports_sampling . three_plus_three . tox . tox_at_dose . tox_limit . tox_target . trial_duration . try_rescue_dose . 
Some associated R codes: boin_selector.R . calculate_probabilities.R . crystallised_dose_paths.R . demand_n_at_dose.R . derived_dose_selector.R . derived_dose_selector_factory.R . dfcrm_selector.R . dont_skip_doses.R . dose_finding_path_node.R . dose_paths.R . eff_tox_selector.R . eff_tox_selector_factory.R . enforce_three_plus_three.R . escalation-package.R . follow_path.R . get_dose_paths.R . get_empiric_crm_skeleton_weights.R . graph_paths.R . helpers.R . interface.R . mtpi2_selector.R . mtpi_selector.R . num_cohort_outcomes.R . num_dose_path_nodes.R . parse_phase1_2_outcomes.R . parse_phase1_outcomes.R . phase1_2_dose_paths.R . phase1_2_outcomes_to_cohorts.R . phase1_2_sim.R . phase1_dose_paths.R . phase1_outcomes_to_cohorts.R . phase1_sim.R . random_dose_selector.R . select_boin_mtd.R . select_dose_by_cibp.R . selector.R . selector_factory.R . simulate_trials.R . simulations.R . spread_paths.R . stop_at_n_selector.R . stop_when_n_at_dose_selector.R . stop_when_too_toxic.R . stop_when_tox_ci_covered.R . three_plus_three.R . three_plus_three_selector.R . tox_selector_factory.R . tpi_selector.R . trialr_crm_selector.R . trialr_efftox_selector.R . trialr_nbg_selector.R . try_rescue_dose.R . wages_tait_selector.R .  Full escalation package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

flood  
Statistical Methods for the (Regional) Analysis of Flood Frequency
Includes several statistical methods for the estimation of parameters and high quantiles of river fl ...
Download / Learn more Package Citations See dependency  
reproj  
Coordinate System Transformations for Generic Map Data
Transform coordinates from a specified source to a specified target map projection. This uses the ' ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
fANCOVA  
Nonparametric Analysis of Covariance
A collection of R functions to perform nonparametric analysis of covariance for regression curves o ...
Download / Learn more Package Citations See dependency  
markets  
Estimation Methods for Markets in Equilibrium and Disequilibrium
Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation ...
Download / Learn more Package Citations See dependency  

28,400

R Packages

239,283

Dependencies

75,283

Author Associations

28,401

Publication Badges

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