Showing 4 of total 4 results (show query)
edhofman
ReSurv:Machine Learning Models For Predicting Claim Counts
Prediction of claim counts using the feature based development factors introduced in the manuscript <doi:10.48550/arXiv.2312.14549>. Implementation of Neural Networks, Extreme Gradient Boosting, and Cox model with splines to optimise the partial log-likelihood of proportional hazard models.
Maintained by Emil Hofman. Last updated 5 months ago.
2 stars 5.87 score 21 scriptsricsalgado
dineR:Differential Network Estimation in R
An efficient and convenient set of functions to perform differential network estimation through the use of alternating direction method of multipliers optimization with a variety of loss functions.
Maintained by Ricardo Daniel Marques Salgado. Last updated 3 years ago.
3 stars 4.29 score 13 scriptshakeemwahab
cities:Clinical Trials with Intercurrent Events Simulator
Simulates clinical trials and summarizes causal effects and treatment policy estimands in the presence of intercurrent events in a transparent and intuitive manner.
Maintained by Ahmad Hakeem Abdul Wahab. Last updated 2 years ago.
1 stars 2.59 score 39 scriptscran
MCPModBC:Improved Inference in Multiple Comparison Procedure – Modelling
Implementation of Multiple Comparison Procedures with Modeling (MCP-Mod) procedure with bias-corrected estimators and second-order covariance matrices as described in Diniz, Gallardo and Magalhaes (2023) <doi:10.1002/pst.2303>.
Maintained by Diego Gallardo. Last updated 2 years ago.
1.00 score