Release 1.8.0

• Add fully Bayesian logistic regression model for a single parameter.

https://www.objectivebayesian.com/p/election-2024

Release 1.7.0

• Add DeltaBinomialModel to model the difference of two binomial distribution probabilities

Release 1.6.0

• Hypothesis testing for mean of normally distributed data with unknown variance using encompassing expected intrinsic Bayes factor (EEIBF)

Release 1.5.0

• Add support for building adaptive sparse grids. (See example 13)

Release 1.4.0

• Make numeric integration more accurate

Release 1.3.1

Add BayessianGaussianProcessRegression model for doing Objective Bayesian analysis with reference priors.

Release 1.2.0

• Support Fitting Logistic Regression Models with Jeffrey's Prior

Release 1.1.0

• Add Bayesian Ridge Regression model

Release 1.0.0

• Support multinomial logistic regression
• Suppose accessing approximate leave-one-out values for each data point

Release 0.2.8

• Support R