High performance Python GLMs with all the features!

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

Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R with "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations in R

Master Degree Coursework: Econometrics II

Go binary for shipping things from Elasticsearch to Splunk (with support for Logit)

Trabajo de Fin de Máster KSchool

Simple Anova, Manova, ChiSq and ChiSq with Logit Scripts

Updated to Minecraft 1.9-1.12| Copy of the original LogIt Classic (minecraft authentication plugin) by LucasEasedUp (LucasEU)

Logit regression in Microsoft Excel designed for ELISA and RIA tests.

This project is the Incident driven contract conversion modelling based on Logit probability.There were two datasets one with conversion information and other past incidence information of a company that provides professional services. The proposed model helps business leaders to take informed decisions about chances of contract renewals based o…

woe credit

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

R code for estimation of latent class logit model with aggregate data

This project goes over data science theories and data preprocessing, leveraging the Titanic data set provided by Kaggle. The goal is to determine which passengers will likely survive or perish the monumental tragedy. The binary classification problem is addressed using two methods, each with three machine learning algorithms. The first approach …

Binary logit based on the Mobility and Transport Microcensus 2015 explaining the "choice" of working - at least from time to time - from home in Switzerland.

Using machine learning methods to identify fake banknotes using measurements

Logit is a comprehensive Git management tool that provides an interactive command-line interface for executing a wide range of Git operations.

Using binary models (logistic and probit) to analyze risk factors associated with type 2 diabetes based on BRFSS 2015 data. The study identifies key factors such as obesity, age, physical activity, and socioeconomic status.

This is the source code (R) for my Bachelor's thesis for the degree of Economics, BA in Universidad San Francisco de Quito (Ecuador). Between 2014-2016, corruption tolerance greatly increased in Ecuador. Why? In memory of the late Jorge Pazmiño (1941-2021).

multinomial logit;