Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2
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Updated
Sep 2, 2024 - 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.
R package for fitting joint models to time-to-event data and multivariate longitudinal data
MBC 20대 대선 여론조사를 조사하다
A Unified Framework for Random Forest Prediction Error Estimation
Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (2023, BMJ)
Cryptocurrency market cap-price prediction and visualization web app
snpnet - Efficient Lasso Solver for Large-scale genetic variant data
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
7C: Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs
R package for online training of regression models using FTRL Proximal
Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components
Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"
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.]
Standardised Survival Probabilities, in R
Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components
Jackknife(+) Predictive Intervals for Bayesian Models
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