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bhm (version 1.18)

Biomarker Threshold Models

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.

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Version

Install

install.packages('bhm')

Monthly Downloads

310

Version

1.18

License

GPL (>= 2)

Maintainer

Bingshu Chen

Last Published

August 31st, 2022

Functions in bhm (1.18)

bhm-package

An R package for the biomarker threshold models
glmpLRT

Penalized likelihood ratio test for the generalized linear models.
data

dataset
pIndexControl

Auxiliary function for pIndex fitting
pIndex

Probability Index for Survival Time Difference
brm

Fitting Biomarker Continuous Threshold Models
mpl

Joint models for clustered data with binary and survival outcomes.
plot

Plot a fitted biomarker threhold model
bhmControl

Auxiliary function for bhm fitting
rmscb

Fitting Restricted Mean Survival Time Models with a Continuous Biomarker
llm

Fit an L-shape linear model
rpicexp

The Piecewise Exponential Distribution
bhm

Fitting Biomarker Threshold Models
print

print a fitted object or a summary of fitted object
resboot

Rresidual Bootstrap Test (RBT) for treatment-biomarker interaction