💪 🤔 Modern Super Learning with Machine Learning Pipelines

BAS R package for Bayesian Model Averaging and Variable Selection

Regression model building and forecasting in R

Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign

R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model

Optimal topic identification from a pool of Latent Dirichlet Allocation models

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

A rolling version of the Latent Dirichlet Allocation.

Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"

R package for focused information criteria for model comparison

Determine a Prototype from a number of runs of Latent Dirichlet Allocation.

# kaefa kwangwoon automated exploratory factor analysis for improving research capability to identify unexplained factor structure with complexly cross-classified multilevel structured data in R environment

This project predicts tuition rates for U.S. public and private universities using linear regression with leave-one-out cross-validation. Helping to assess if a college market price, maximizing ROI and minimizing student loan debt.

Data and function bundle for model selection guide for ecologists

An R package for Augmented Backward Elimination

Monte Carlo Penalty Selection for graphical lasso

Comparison of model selection methods for Boston dataset

This project was in collaboration with University Hospital Birmingham

D-probabilities of parametric models using nonparametric model reference