an R package for structural equation modeling and more

rstanarm R package for Bayesian applied regression modeling

An R package for Bayesian structural equation modeling

Basic statistical modelling examples.

Recursive Partitioning for Structural Equation Models

rstanarm R package for Bayesian applied regression modeling

An R package implementing Principal Component Pursuit for pattern recognition in environmental health.

Expand broom::tidy() output for categorical parameter estimates

An R package for Bayesian structural equation modeling using INLA

MATH-342 Time Series course taken at EPFL during Spring 17-18.

📊⚙️ Using 7 years of my sleep data, this project predicts Sleep Quality using a linear regression model based on predictors such as time in bed, time asleep, temperature, alarm, and steps.

An exploratory analysis of the Kaggle bikeshare data set with the application of linear regression models, which are not optimal for this particular problem of predicting bikes rented.

Multi touch attribution models, including Markov chains

Kaggle Titanic Data Set Using Logit Model

R package for statistical modeling with the Skellam distribution, supporting inference, random sampling, and regression for differences of independent Poisson counts.

Emergency Flood Forecasting (2011) 💧 How Do You Predict Floods When All Models Fail? : Grassroots forecasting system that helped 13M people prepare during Thailand's worst disaster - using only existing water data and adaptive research-based models, when conventional prediction tools broke down.

Correspondence to Lancet regarding the article by Santos-Burgoa and colleagues (2018)

Apply empirical bias-reduced methods to fit a variety of latent variable models

Multivariate statistical learning applied to high dimensional data

A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets