MDCcure - High-Performance Functions for Martingale Difference Correlation and Hypothesis Testing in Mixture Cure Models
Provides efficient tools for computing martingale difference correlation, martingale difference divergence, and their partial extensions to assess conditional mean dependence. Separately, the package introduces a novel hypothesis test for detecting covariate effects on the cure rate in mixture cure models, using MDC-based statistics. These methods enable both general dependence analysis and targeted inference in survival models with a cure fraction.
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3.00 score 1 scripts 293 downloadsHDBRR - High Dimensional Bayesian Ridge Regression without MCMC
Implements Bayesian ridge regression for high-dimensional data without using Markov chain Monte Carlo (MCMC). Posterior computations are performed using singular value decomposition (SVD) or QR decomposition. The package also provides variable selection and prediction methods.
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2.00 score 2 scripts 188 downloads