R package that provides estimation methods for Gravity Models

Detecting structural breaks in time series data using statistical analysis and regression models in R.

Set of functions to semi-automatically build and test Ordinary Least Squares (OLS) models in R in parallel.

OLS for an Inflation-Targeting Policy Analysis (Chile)

OLS results and Linear Regression in R

R packages which implements most known linear regression model: pls, OLS, ridge, lasso, LAR, principal components regression...

Tools for developing OLS regression models

This project was conducted for "API 222: Machine Learning and Data Analytics", taught at the Harvard Kennedy School. We created a novel dataset and explored how machine learning can predict the onset of civil conflict.

Comparing the different types of Regression

Applied Econometrics Project, Analysis conducted with R

A repository created to explore and understand Statistics through coding.

Diagnostic tools for regression modeling.

A basic exponent calculator for visualizing the best fit line in OLS with a higher degree polynomial.

Predicting Time of Arrival for Food Delivery Service

Inference of the Russian labour demand function for the years 1996 and 1997 estimating and testing hypothesis on OLS, Instrumental Variables, FE, RE and Pooled Panel Data Models assessing how to better build a model for our data.