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 **Superseded by the models-by-example repo**.
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Updated
Nov 25, 2020 - R
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 **Superseded by the models-by-example repo**.
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
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
Surrogate residuals for cumulative link and general regression models in R
Raw files for a document that provides an overview of models for the case of a categorical dependent variable.
Doubly robust estimators of ordinal treatment effects
Goodness-of-fit tests for categorical response models
Smooth Effects on Response Penalty for CLM
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..
Parsnip bindings for ordinal prediction models
Ordinal Regression for mlr3
R package for ggplot2-based visualizations of cumulative ordinal regression models in R
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
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