PosteriorBootstrap-package: A package with a parallel approach for adaptive...

In alan-turing-institute/PosteriorBootstrap: Non-Parametric Sampling with Parallel Monte Carlo

A package with a parallel approach for adaptive non-parametric learning

Description

The PosteriorBootstrap package provides two categories of functions. The first category returns or loads the system files that ship with the package: get_stan_file, get_german_credit_file, get_german_credit_dataset. The second category performs statistical sampling: draw_stick_breaks and draw_logit_samples (for adaptive non-parametric learning of the logistic regression model).

Details

Please see the vignette for sample usage and performance metrics.

Author(s)

Maintainer: James Robinson [e-mail]

Authors:

• Simon Lyddon [e-mail]

• Miguel Morin [e-mail]

Other contributors:

• The Alan Turing Institute [e-mail] [copyright holder]

See Also

Useful links:

• https://github.com/alan-turing-institute/PosteriorBootstrap/

• Report bugs at https://github.com/alan-turing-institute/PosteriorBootstrap/issues

alan-turing-institute/PosteriorBootstrap documentation built on Sept. 12, 2023, 9:32 a.m.