Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2
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Updated
Aug 1, 2025 - R
Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2
Extending broom for time series forecasting
Tidy, Type-Safe 'prediction()' Methods
An integrated framework in R for textual sentiment time series aggregation and prediction
Machine learning pipelines for R.
MBC 20대 대선 여론조사를 조사하다
R package for fitting joint models to time-to-event data and multivariate longitudinal data
Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (2023, BMJ)
A Unified Framework for Random Forest Prediction Error Estimation
Cryptocurrency market cap-price prediction and visualization web app
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
snpnet - Efficient Lasso Solver for Large-scale genetic variant data
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Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components
R package for online training of regression models using FTRL Proximal
Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"
Standardised Survival Probabilities, in R
WAvelet System Prediction [Jiang, Z., Sharma, A., & Johnson, F. (2020). Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling. Water Resources Research, 56(3), e2019WR026962.]
Stacked Probabilities Plots and Transition Probabilities for 'msm' Multi-State Models
Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components
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