Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2

Extending broom for time series forecasting

An integrated framework in R for textual sentiment time series aggregation and prediction

Tidy, Type-Safe 'prediction()' Methods

Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (2023, BMJ)

R package for fitting joint models to time-to-event data and multivariate longitudinal data

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

Nonparametric regression and prediction using the highly adaptive lasso algorithm

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

Machine learning pipelines for R.

Solution for ENS - Societe Generale Challenge (1st place).

Applied Predictive Modeling with caret

Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components

MBC 20대 대선 여론조사를 조사하다

A Unified Framework for Random Forest Prediction Error Estimation

Package to genomic prediction focused on GE genomic models

This is a simple implementation of Markov chains to predict Stock Market Behaviour

Standardised Survival Probabilities, in R

Development and validation of a risk prediction model with binary outcome using logistic regression - Code repository for the manuscript 'Assessing the performance of prediction models: a framework for some traditional and novel measures' by Steyerberg et al. (2010)