R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
trialr
View on CRAN: Click
here
Download and install trialr package within the R console
Install from CRAN:
install.packages("trialr")
Install from Github:
library("remotes")
install_github("cran/trialr") Install by package version:
library("remotes")
install_version("trialr", "0.1.6") Attach the package and use:
library("trialr")
Maintained by
Kristian Brock
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-21
Latest Update: 2023-03-12
Description:
A collection of clinical trial designs and methods, implemented in 'rstan' and R, including: the Continual Reassessment Method by O'Quigley et al. (1990) <doi:10.2307/2531628>; EffTox by Thall & Cook (2004) <doi:10.1111/j.0006-341X.2004.00218.x>; the two-parameter logistic method of Neuenschwander, Branson & Sponer (2008) <doi:10.1002/sim.3230>; and the Augmented Binary method by Wason & Seaman (2013) <doi:10.1002/sim.5867>; and more. We provide functions to aid model-fitting and analysis. The 'rstan' implementations may also serve as a cookbook to anyone looking to extend or embellish these models. We hope that this package encourages the use of Bayesian methods in clinical trials. There is a preponderance of early phase trial designs because this is where Bayesian methods are used most. If there is a method you would like implemented, please get in touch.
How to cite:
Kristian Brock (2017). trialr: Clinical Trial Designs in 'rstan'. R package version 0.1.6, https://cran.r-project.org/web/packages/trialr. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:15), 0.0.1 (2017-11-21 16:33), 0.0.2 (2018-08-08 22:40), 0.0.3 (2018-08-09 12:20), 0.0.4 (2018-10-24 23:30), 0.0.5 (2018-11-12 17:40), 0.0.6 (2019-01-17 15:10), 0.0.7 (2019-03-03 18:30), 0.1.0 (2019-04-21 23:00), 0.1.1 (2019-05-25 02:00), 0.1.2 (2019-06-25 13:40), 0.1.3 (2020-01-08 23:30), 0.1.4 (2020-04-06 15:20), 0.1.5 (2020-10-16 01:00)
Other packages that cited trialr R package
View trialr citation profile
Other R packages that trialr depends,
imports, suggests or enhances
Complete documentation for trialr
Functions, R codes and Examples using
the trialr R package
Some associated functions: as.data.frame.crm_fit . as.data.frame.efftox_fit . as.mcmc.list.crm_fit . as.mcmc.list.efftox_fit . as_tibble.augbin_2t_1a_fit . as_tibble.dose_finding_paths . augbin_2t_1a_fit . augbin_fit . binary_prob_success . careful_escalation . closest_to_target . crm_codified_dose_logistic . crm_dtps . crm_fit-class . crm_params-class . crm_path_analysis . crm_prior_beliefs . crm_process . df_parse_outcomes . dose_finding_fit-class . dose_finding_path_node-class . eff_at_dose . efftox_analysis_to_df . efftox_contour_plot . efftox_dtps . efftox_dtps_to_dataframe . efftox_fit-class . efftox_get_tox . efftox_parameters_demo . efftox_params-class . efftox_parse_outcomes . efftox_path_analysis . efftox_priors . efftox_process . efftox_simulate . efftox_solve_p . efftox_superiority . efftox_utility . efftox_utility_density_plot . get_efftox_priors . n_at_dose . parse_dose_finding_outcomes . parse_eff_tox_dose_finding_outcomes . peps2_get_data . peps2_process . plot.crm_fit . plot.efftox_fit . predict.augbin_2t_1a_fit . print.augbin_fit . print.crm_fit . print.efftox_fit . print.nbg_fit . prior_predictive_augbin_2t_1a . prob_success . prob_tox_exceeds . ranBin2 . rlkjcorr . spread_paths . stan_augbin . stan_augbin_demo . stan_crm . stan_efftox . stan_efftox_demo . stan_hierarchical_response_thall . stan_nbg . stan_peps2 . summary.crm_fit . summary.efftox_fit . total_weight_at_dose . tox_at_dose . trialr-package . trialr_simulate . weights_at_dose .
Some associated R codes: EffTox.R . augbin_2t_1a_fit.R . augbin_fit.R . binary_prob_success.R . careful_escalation.R . crm_codified_dose_logistic.R . crm_dtps.R . crm_fit.R . crm_params.R . crm_path_analysis.R . crm_prior_beliefs.R . crm_process.R . df_parse_outcomes.R . dose_finding_fit.R . dose_finding_path_node.R . dose_finding_paths.R . eff_at_dose.R . efftox_analysis_to_df.R . efftox_contour_plot.R . efftox_dtps.R . efftox_dtps_to_dataframe.R . efftox_fit.R . efftox_get_tox.R . efftox_parameters_demo.R . efftox_params.R . efftox_parse_outcomes.R . efftox_path_analysis.R . efftox_priors.R . efftox_process.R . efftox_simulate.R . efftox_solve_p.R . efftox_superiority.R . efftox_utility.R . efftox_utility_density_plot.R . get_efftox_priors.R . misc.R . n_at_dose.R . nbg_fit.R . parse_dose_finding_outcomes.R . parse_eff_tox_dose_finding_outcomes.R . peps2_get_data.R . peps2_process.R . prior_predictive_augbin_2t_1a.R . prob_success.R . prob_tox_exceeds.R . ranBin2.R . rlkjcorr.R . spread_paths.R . stan_augbin.R . stan_augbin_demo.R . stan_crm.R . stan_efftox.R . stan_efftox_demo.R . stan_hierarchical_response_thall.R . stan_nbg.R . stan_peps2.R . stanmodels.R . total_weight_at_dose.R . tox_at_dose.R . trialr-package.R . trialr_simulate.R . weights_at_dose.R . Full trialr package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
RGIFT
Implementation of some functions to create quizzes
in the GIFT format. This format is used by sever ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Virgilio Gómez-Rubio (view profile)
survivalMPLdc
Fitting Cox proportional hazard model under dependent right censoring using copula and maximum penal ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jing Xu (view profile)
NPflow
Dirichlet process mixture of multivariate normal, skew normal or skew t-distributions
modeling orie ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Boris P Hejblum (view profile)
mxnorm
Implements methods to normalize multiplexed imaging data, including
statistical metrics and visuali ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Coleman Harris (view profile)
shinyFeedback
Easily display user feedback in Shiny apps. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Andy Merlino (view profile)
28,332
R Packages
239,283
Dependencies
75,113
Author Associations
28,333
Publication Badges
