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techtonique
bcn:Boosted Configuration Networks
Boosted Configuration (neural) Networks for supervised learning.
Maintained by T. Moudiki. Last updated 6 months ago.
machine-learningneural-networksstatistical-learningcpp
5 stars 4.00 score 4 scripts
yunshandys
SurrogateBMA:Flexible Evaluation of Surrogate Markers with Bayesian Model Averaging
Provides functions to estimate the proportion of treatment effect explained by the surrogate marker using a Bayesian Model Averaging approach. Duan and Parast (2023) <doi:10.1002/sim.9986>.
Maintained by Yunshan Duan. Last updated 1 years ago.
2.70 score
cyprien84
iBST:Improper Bagging Survival Tree
Fit a full or subsampling bagging survival tree on a mixture of population (susceptible and nonsusceptible) using either a pseudo R2 criterion or an adjusted Logrank criterion. The predictor is evaluated using the Out Of Bag Integrated Brier Score (IBS) and several scores of importance are computed for variable selection. The thresholds values for variable selection are computed using a nonparametric permutation test. See 'Cyprien Mbogning' and 'Philippe Broet' (2016)<doi:10.1186/s12859-016-1090-x> for an overview about the methods implemented in this package.
Maintained by Cyprien Mbogning. Last updated 2 years ago.
1.00 score 8 scripts