A Python library for estimating discrete choice models where agents can select either single alternatives or unordered pairs of alternatives. This implements the model as described in Ophem, H.V., ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Have you ever wished you could generate interactive websites with HTML, CSS, and JavaScript while programming in nothing but Python? Here are three frameworks that do the trick. Python has long had a ...

Financial crises are recurrent events with profound economic and social implications. Accurately predicting these crises is of paramount importance for policymakers, financial institutions, and ...

The Windows version of the Python interpreter can be run from the command line the same way it’s run in other operating systems, by typing python or python3 at the prompt. But there’s a feature unique ...

Abstract: Propensity score matching (PSM) is a technique used in retrospective investigation of cohort matching as an alternative approach to the prospective matching that is typically used by a ...

Ordinal regression is utilised when data contains an ordinal variable with categorical values that have a defined order. It serves as an intermediary method between regression and classification ...

There’s a unique strength that derives from combining the warp and the weft. It’s that strength that Indigenous software company LOGiT Australia is seeking with its newly released weavr solution, ...