SuperLearner - Super Learner Prediction

Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.

Last updated 12 months ago

13.18 score 273 stars 36 dependents 2.0k scripts 2.9k downloads

cvAUC - 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.

Last updated 3 years ago

aucconfidence-intervalscross-validationmachine-learningstatisticsvariance

9.11 score 23 stars 40 dependents 317 scripts 2.9k downloads

meetupr - Meetup R API

Provides access to data from <https:www.meetup.com> (see <https:www.meetup.com/meetup_api/> for more information).

Last updated 2 years ago

apiapi-wrappermeetupr-ladiesrladiesrladies-global

7.04 score 76 stars 91 scripts

subsemble - 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>.

Last updated 3 years ago

big-datacross-validationensembleensemble-learningmachine-learningmachine-learning-algorithms

4.37 score 43 stars 11 scripts 253 downloads

rHealthDataGov - 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.

Last updated 10 years ago

apihealth-datahealthcareopen-data

3.30 score 40 stars 4 scripts 24 downloads