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bhm  

Biomarker Threshold Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bhm", "1.19")



Attach the package and use:
library("bhm")
Maintained by
Bingshu E. Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-12
Latest Update: 2025-04-26
Description:
Contains tools to fit both predictive and prognostic biomarker effects using biomarker threshold models and continuous threshold models. Evaluate the treatment effect, biomarker effect and treatment-biomarker interaction using probability index measurement. Test for treatment-biomarker interaction using residual bootstrap method.
How to cite:
Bingshu E. Chen (2016). bhm: Biomarker Threshold Models. R package version 1.19, https://cran.r-project.org/web/packages/bhm. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 1.1 (2016-10-12 00:37), 1.11 (2017-05-11 18:28), 1.13 (2017-12-20 22:15), 1.15 (2019-07-29 23:30), 1.16 (2020-04-13 14:50), 1.17 (2021-12-04 18:50), 1.18 (2022-08-31 19:00)
Other packages that cited bhm R package
View bhm citation profile
Other R packages that bhm depends, imports, suggests or enhances
Complete documentation for bhm
Functions, R codes and Examples using the bhm R package
Some associated functions: bhm-package . bhm . brm . control . data . glmpLRT . llm . mpl . pIndex . pIndexControl . picexp . plot . print . resboot . rmscb . 
Some associated R codes: bhm.R . bhm_fit.R . bhm_lib.R . brm.R . glmpLRT.R . llm.R . mpl.R . pIndex.R . picexp.R . prolik.R . resboot.R . rmscb.R .  Full bhm package functions and examples
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