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r-pseval

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Contains the core methods for the evaluation of principal surrogates in a single clinical trial. Provides a flexible interface for defining models for the risk given treatment and the surrogate, the models for integration over the missing counterfactual surrogate responses, and the estimation methods. Estimated maximum likelihood and pseudo-score can be used for estimation, and the bootstrap for inference. A variety of post-estimation summary methods are provided, including print, summary, plot, and testing.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-pseval

Usage Tracking

1.3.1
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

Contains the core methods for the evaluation of principal surrogates in a single clinical trial. Provides a flexible interface for defining models for the risk given treatment and the surrogate, the models for integration over the missing counterfactual surrogate responses, and the estimation methods. Estimated maximum likelihood and pseudo-score can be used for estimation, and the bootstrap for inference. A variety of post-estimation summary methods are provided, including print, summary, plot, and testing.

Last Updated

Oct 15, 2019 at 16:38

License

MIT

Total Downloads

1

Supported Platforms

noarch