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

Analysis of Ecotoxicology

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

Simple Anova, Manova, ChiSq and ChiSq with Logit Scripts

Generación de reportes para los mejores modelos Logit obtenidos con el paquete glmulti

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…

Hand-made R Functions Mainly for Statistical Data Analysis

woe credit

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 …

Generaliser linear models -The theory for linear normal models is looked at and applied to regression and analysis of variance. Furthermore the topics of binary variables logistic regression, log-linear models, contingency tables and life time analysis are treated.