summary.cvma: Summarize results of 'cvma' fit. Can be used to summarize the...
In benkeser/cvma: Cross-validation-based maximal association
Description
Usage
Arguments
Value
Description
Summarize results of cvma fit. Can be used to summarize
the weights obtained for each outcome (in both outer and inner
layers of cross-validation), the super learner fit for each outcome
(with learners fit on all the data), or the cross-validated associations
with each outcome.
Usage
1
2
Arguments
object
An object of class cvma
aspect
Can be "weights", "superlearner",
"outcomes", or "learners"
...
Other options (not currently used)
Value
A list summarizing relevant aspects of the cvma object
benkeser/cvma documentation built on May 5, 2019, 1:37 p.m.
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Description Usage Arguments Value
Description
Summarize results of cvma fit. Can be used to summarize
the weights obtained for each outcome (in both outer and inner
layers of cross-validation), the super learner fit for each outcome
(with learners fit on all the data), or the cross-validated associations
with each outcome.
Usage
1 2 |
Arguments
object |
An object of class |
aspect |
Can be |
... |
Other options (not currently used) |
Value
A list summarizing relevant aspects of the cvma object
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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