tspreg: tspreg
In jtleek/tspreg: Top scoring pairs regression
Description
Usage
Arguments
Value
Description
tspreg
This function calculates a top-scoring pairs regression
model which can be used for prediction in
high-dimensional problems.
Usage
1
tspreg(dat, outcome, npair = 10, nvars = 10000)
Arguments
dat
An input data set
outcome
The outcome that you are trying to predict
(may be factor or survival)
npair
The desired number of top scoring pairs to
calculate
nvars
The algorithm first screens for marginal
association between outcome and dat and selects the top
nvars to use to create candidate pairs
Value
An index vector for the top-scoring pairs
The test statistics for the association between each pair
and the outcome
jtleek/tspreg documentation built on May 20, 2019, 3:14 a.m.
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Description Usage Arguments Value
Description
tspreg
This function calculates a top-scoring pairs regression model which can be used for prediction in high-dimensional problems.
Usage
1 | tspreg(dat, outcome, npair = 10, nvars = 10000)
|
Arguments
dat |
An input data set |
outcome |
The outcome that you are trying to predict (may be factor or survival) |
npair |
The desired number of top scoring pairs to calculate |
nvars |
The algorithm first screens for marginal association between outcome and dat and selects the top nvars to use to create candidate pairs |
Value
An index vector for the top-scoring pairs
The test statistics for the association between each pair and the outcome
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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