A python package for estimating conditional logit models.

Context-sensitive ranking and choice in Python with PyTorch

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

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

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

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

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

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

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

An R package with tools for designing choice based conjoint (cbc) survey experiments and conducting power analyses

Discrete choice modeling and estimation in Julia.

PhD thesis: optimization and equilibrium problems with discrete choice models

Bayesian estimation of probit models

Unifying interface for discrete choice modelling

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

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

In this repository, a GAMS code is provided to estimate parameters of the logit model. We provide a code and sample data to solve for binary route choice model for truck drivers.

This is for Econometrics and other Economics related materials

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

Inflated Discrete Choice Models