predictiveModeling: The predictive modeling package allows users to write custom predictive models or use off-the-shelf models via caret, and compare their performance.

# This test is only run during R CMD check
# It should invoke all unit tests but no integration tests
require("predictiveModeling") || stop("unable to load predictiveModeling package")
predictiveModeling:::.test()

Sage-Bionetworks/predictiveModeling documentation built on May 9, 2019, 12:12 p.m.

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Sage-Bionetworks/predictiveModeling
The predictive modeling package allows users to write custom predictive models or use off-the-shelf models via caret, and compare their performance.

tests/runUnitTestSuite.R
In Sage-Bionetworks/predictiveModeling: The predictive modeling package allows users to write custom predictive models or use off-the-shelf models via caret, and compare their performance.

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Sage-Bionetworks/predictiveModeling The predictive modeling package allows users to write custom predictive models or use off-the-shelf models via caret, and compare their performance.

tests/runUnitTestSuite.R In Sage-Bionetworks/predictiveModeling: The predictive modeling package allows users to write custom predictive models or use off-the-shelf models via caret, and compare their performance.

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We want your feedback!

Sage-Bionetworks/predictiveModeling
The predictive modeling package allows users to write custom predictive models or use off-the-shelf models via caret, and compare their performance.

tests/runUnitTestSuite.R
In Sage-Bionetworks/predictiveModeling: The predictive modeling package allows users to write custom predictive models or use off-the-shelf models via caret, and compare their performance.