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

Projeto de Extensão Tecnológica (PET) - Equipe Gama

Master Degree Coursework: Econometrics II

Unifying interface for discrete choice modelling

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.

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

Assignment-06-Logistic-Regression. Output variable -> y y -> Whether the client has subscribed a term deposit or not Binomial ("yes" or "no") Attribute information For bank dataset Input variables: # bank client data: 1 - age (numeric) 2 - job : type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","st…

Prediction of freight transportation mode

Researching the relationship between stock market performance and involuntary CEO dismissal.

Ordered logit and probit models

Estimated probability models that help target consumers to build brand loyalty

Researching the relationship between stock market performance and involuntary CEO dismissal.

Exclusive repository that contains code, simulations and practical examples of the main algorithms for Regression Analysis (v. gr. simple linear regression, multiple linear regression, polynomial regression, etc).

Hypothesis Testing Assignment - Ordered choice model. Using probit, logit and Poisson models to solve problems based on economic theory.

This repository consist of analytical exercises about parametric statistical models done in Rmarkdown.

Used libraries and functions as follows:

Using R to analyse the relationship between variables and attrition in Shanghai Ctrip call centre's WFH data.

2024년 가을학기 연세대학교 도시공학종합설계

Final project for PHST 684 at the University of Louisville (Categorical Data Analysis)