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
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Updated
Oct 3, 2023 - R
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
R code for estimation of latent class logit model with aggregate data
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.
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
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.
Using R to analyse the relationship between variables and attrition in Shanghai Ctrip call centre's WFH data.
Researching the relationship between stock market performance and involuntary CEO dismissal.
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:
Final project for PHST 684 at the University of Louisville (Categorical Data Analysis)
Analysis of Lichess variant games
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