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

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.

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

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.

📊⚙️ 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.

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

Multivariate statistical learning applied to high dimensional data

Kaggle Titanic Data Set Using Logit Model

Multi touch attribution models, including Markov chains

A Survey on ML Techniques for Airbnb Price Prediction

Code I had written in R when I was learning different statistical techniques used for quantitative forecasting.

This repo contains an R script that algorithmically finds the best distribution that fits several continuous, randomized variables