topten: Building a Model with Top ten Features
In Emaasit/DataMatching: For Matching Data That Lack Common Entity Identifiers
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Description
This function develops a prediction algorithm based on the top 10 features
in 'x' that are most predictive of 'y'
Usage
1
topten(x, y)
Arguments
x
a n X p matric of n observations and p predictors
y
a vector of length n representing the response
Details
This function runs a univariate regression
Value
a vector of coefficients from the final fitted moel with top 10 features
Author(s)
Daniel Emaasit
See Also
Emaasit/DataMatching documentation built on May 6, 2019, 3:46 p.m.
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Description Usage Arguments Details Value Author(s) See Also
Description
This function develops a prediction algorithm based on the top 10 features in 'x' that are most predictive of 'y'
Usage
1 | topten(x, y)
|
Arguments
x |
a n X p matric of n observations and p predictors |
y |
a vector of length n representing the response |
Details
This function runs a univariate regression
Value
a vector of coefficients from the final fitted moel with top 10 features
Author(s)
Daniel Emaasit
See Also
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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