SuperLearner - Super Learner Prediction
Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.
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13.42 score 293 stars 44 dependents 2.6k scripts 8.7k downloadscvAUC - Cross-Validated Area Under the ROC Curve Confidence Intervals
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.
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aucconfidence-intervalscross-validationmachine-learningstatisticsvariance
9.64 score 25 stars 47 dependents 349 scripts 7.1k downloads
meetupr - Access Meetup Data
Provides programmatic access to the 'Meetup' 'GraphQL' API (<https://www.meetup.com/graphql/>), enabling users to retrieve information about groups, events, and members from 'Meetup' (<https://www.meetup.com/>). Supports authentication via 'OAuth2' and includes functions for common queries and data manipulation tasks.
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apiapi-wrappermeetupr-ladiesrladiesrladies-global
9.05 score 81 stars 115 scripts 164 downloadssubsemble - An Ensemble Method for Combining Subset-Specific Algorithm Fits
The Subsemble algorithm is a general subset ensemble prediction method, which can be used for small, moderate, or large datasets. Subsemble partitions the full dataset into subsets of observations, fits a specified underlying algorithm on each subset, and uses a unique form of k-fold cross-validation to output a prediction function that combines the subset-specific fits. An oracle result provides a theoretical performance guarantee for Subsemble. The paper, "Subsemble: An ensemble method for combining subset-specific algorithm fits" is authored by Stephanie Sapp, Mark J. van der Laan & John Canny (2014) <doi:10.1080/02664763.2013.864263>.
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big-datacross-validationensembleensemble-learningmachine-learningmachine-learning-algorithms
4.37 score 43 stars 11 scripts 300 downloadsrHealthDataGov - Retrieve data sets from the HealthData.gov data API
An R interface for the HealthData.gov data API. For each data resource, you can filter results (server-side) to select subsets of data.
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apihealth-datahealthcareopen-data
3.30 score 40 stars 4 scripts 8 downloads