Other packages > Find by keyword >

JQL  

Jump Q-Learning for Individualized Interval-Valued Dose Rule
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("JQL", "3.6.9")



Attach the package and use:
library("JQL")
Maintained by
Hengrui Cai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-22
Latest Update: 2019-11-15
Description:
We provide tools to estimate the individualized interval-valued dose rule (I2DR) that maximizes the expected beneficial clinical outcome for each individual and returns an optimal interval-valued dose, by using the jump Q-learning (JQL) method. The jump Q-learning method directly models the conditional mean of the response given the dose level and the baseline covariates via jump penalized least squares regression under the framework of Q learning. We develop a searching algorithm by dynamic programming in order to find the optimal I2DR with the time complexity O(n2) and spatial complexity O(n). To alleviate the effects of misspecification of the Q-function, a residual jump Q-learning is further proposed to estimate the optimal I2DR. The outcome of interest includes the best partition of the entire dosage of interest, the regression coefficients of each partition, and the value function under the estimated I2DR as well as the Wald-type confidence interval of value function constructed through the Bootstrap.
How to cite:
Hengrui Cai (2019). JQL: Jump Q-Learning for Individualized Interval-Valued Dose Rule. R package version 3.6.9, https://cran.r-project.org/web/packages/JQL. Accessed 07 Mar. 2026.
Previous versions and publish date:
2.3.3 (2019-02-22 11:30)
Other packages that cited JQL R package
View JQL citation profile
Other R packages that JQL depends, imports, suggests or enhances
Complete documentation for JQL
Functions, R codes and Examples using the JQL R package
Some associated functions: find.I2DR . opt.dose . tune.JQL . tune.RJQL . 
Some associated R codes: find.I2DR.R . opt.dose.R . tune.JQL.R . tune.RJQL.R .  Full JQL package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  
ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
Download / Learn more Package Citations See dependency  
testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  
SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  
lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
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  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

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