Explaining the output of machine learning models with more accurately estimated Shapley values
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Updated
Jun 17, 2024 - R
Explaining the output of machine learning models with more accurately estimated Shapley values
Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering
BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version
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Perform a Bayesian estimation of the Exploratory Deterministic Input, Noisy “And” Gate (EDINA) cognitive diagnostic model described by Chen et al. (2018) <doi:10.1007/s11336-017-9579-4>
Multiple Systems Estimation Using Decomposable Graphical Models. This is an efficient re-implementation and extension of the dga R package.
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