Assignments from Microeconometrics

Power Link Functions in Modeling Dependent Ordinal Data

This project analyzes individuals' propensity to protest in Hong Kong, using World Values Survey Wave 7 data for various countries in Asia..

Final project for Bayesian learning & Montecarlo simulation course attended at Polimi in 2022. The objective is to build a Bayesian model able to predict the quality of a given wine

Raw files for a document that provides an overview of models for the case of a categorical dependent variable.

Smooth Effects on Response Penalty for CLM

Goodness-of-fit tests for categorical response models

R package for ggplot2-based visualizations of cumulative ordinal regression models in R

Methods for clm objects

Doubly robust estimators of ordinal treatment effects

Ordinal Regression for mlr3

Surrogate residuals for cumulative link and general regression models in R

Parsnip bindings for ordinal prediction models

This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.