A simple, frequentist software package for MacOS™. It offers the user the ability to optimize the parameters of a function or distribution describing a given, univariate dataset using one of several available optimization criteria. I wrote this package many years ago because I needed it. Subsequently, I thought others might find it as useful as I did.
Even though Regress+ has some fairly advanced features, it cannot compare to its much more powerful successor described below.
A MacOS™ application implementing a fully Bayesian capability for applying a user-defined model to a given dataset. This software features live editing of the model plus some very sophisticated features.
MacMCMC is one half of a two-part project. The other half is the following ebook.
An ebook (PDF) written to accompany the MacMCMC software package but which stands on its own as an introduction to state-of-the-art data analysis in general. This book (265 pp.) keeps the math to a minimum but features a large number of examples of many kinds.
A case study in Bayesian Data Analysis (PDF, 23 pp.)