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krinsman / packages

Package Name Access Summary Updated
r-dosnow public Provides a parallel backend for the %dopar% function using the snow package of Tierney, Rossini, Li, and Sevcikova. 2025-03-25
r-ck37r public Toolkit for statistical, machine learning, and targeted learning analyses. Functionality includes loading & auto-installing packages, standardizing datasets, creating missingness indicators, imputing missing values, creating multicore or multinode clusters, automatic SLURM integration, enhancing SuperLearner and TMLE with automatic parallelization, and many other SuperLearner analysis & plotting enhancements. 2025-03-25
r-nnls public An R interface to the Lawson-Hanson implementation of an algorithm for non-negative least squares (NNLS). Also allows the combination of non-negative and non-positive constraints. 2025-03-25
r-cvauc public This package contains various tools for working with and evaluating cross-validated area under the ROC curve (AUC) estimators. The primary functions of the package are ci.cvAUC and ci.pooled.cvAUC, which report cross-validated AUC and compute confidence intervals for cross-validated AUC estimates based on influence curves for i.i.d. and pooled repeated measures data, respectively. One benefit to using influence curve based confidence intervals is that they require much less computation time than bootstrapping methods. The utility functions, AUC and cvAUC, are simple wrappers for functions from the ROCR package. 2025-03-25
r-superlearner public Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner. 2025-03-25
tensorly public No Summary 2025-03-25

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