A python package for estimating conditional logit models.

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

Context-sensitive ranking and choice in Python with PyTorch

The Discrete Mode Choice extension for MATSim makes it easy to define fine-grained and custom mode choice behaviour in MATSim simulations.

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

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

Inflated Discrete Choice Models

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

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

A command for fitting (Discrete Choice) Random Regret Minimization models using Stata

Discrete choice modeling and estimation in Julia.

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

Repository for the article "SNM: Stochastic Newton Method for Optimization of Discrete Choice Models" in proceedings of IEEE ITSC 2018

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

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

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

Victor's PhD Thesis "Discrete-Choice Mining of Social Processes"

Unifying interface for discrete choice modelling

Bayesian estimation of probit models

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