Introduction

I-priors (Bergsma, 2019) are a class of objective priors which make use of the Fisher information. Estimation is simple, inference straightforward, and often gives better predictions for new data.

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regression

Regression

Simple fitting of various regression models for prediction and inference.

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classification

Classification

Extension to categorical responses for binary and multiclass classification.

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var-select

Variable Selection

A fully Bayesian approach to variable selection for linear models.

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