Some route choice models implemented in PyTorch.

Fully JAX-compatible python implementation of the DC-EGM algorithm from Iskhakov, Jorgensen, Rust, and Schjerning (QE, 2017).

Structural modeling and estimation in JAX and Equinox.

Script for: Clean vehicle ownership: implications for effective policy interventions

R package of comprehensive tools for designing and analyzing choice-based conjoint (cbc) experiments

Bayesian estimation of probit models

Python Choice Modelling on Tensor (PyCMTensor). A flexible Neural Embedded Discrete Choice Modelling (NEDCM) Python package

Estimation of Gaussian Bernoulli Mixture - Latent Class Choice Models (GBM-LCCM) using the Expectation Maximization (EM) algorithm

Estimation of Gaussian Process - Latent Class Choice Models (GP-LCCM) using the Expectation Maximization (EM) algorithm

Discrete choice model for the choice of main transport mode by foreign tourists in Switzerland, estimated on the data of the Tourism Monitor Switzerland (TMS) from Switzerland Tourism

Fortran+OpenMP implementation of the canonical sovereign default model with long-term debt. Solved with discrete choice methods.

A Python package for GPU-accelerated estimation of mixed logit models.

math+econ+code masterclass on optimization in economics: optimal transport, demand models, matching models

This repository stores the source code of a Python implementation of MDMs.

Integer Programming Extreme Value Model

A companion package for the book Discrete Choice Analysis with R doi:10.1007/978-3-031-20719-8

Context-sensitive ranking and choice in Python with PyTorch

Orderd logit model based on the Mobility and Transport Microcensus 2015 explaining the number of trips (from home to work for now) in Switzerland.

Inflated Discrete Choice Models

A python package for estimating conditional logit models.