Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.

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C++r Stan shell uncertainty survival-analysis rstan health-economic-evaluation inla hamiltonian-monte-carlo survival-models frequentist plotting-survival-curves

survtmle

Targeted Learning for Survival Analysis

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r Jupyter Notebook tmle survival-analysis ensemble-learning competing-risks

hdnom

Benchmarking and Visualization Toolkit for Penalized Cox Models

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r c benchmark linear-regression high-dimensional-data survival-analysis penalized-cox-models nomogram-visualization

bess

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

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C++Cuda c r python CMake variable-selection feature-selection survival-analysis sparse-linear-systems regression-models classification-model poisson-regression

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