dot-cv: Cross-validation
In palasso: Paired Lasso Regression
Description
Usage
Arguments
Value
Examples
Description
Repeatedly leaves out samples, and predicts their response.
Usage
1
Arguments
y
response:
vector of length n
x
covariates:
matrix with n rows (samples)
and k * p columns (variables)
foldid
fold identifiers:
vector of length n,
with entries from 1 to nfolds
lambda
lambda sequence:
vector of decreasing positive values
args
options for paired lasso:
list of arguments
(output from .dims and .args)
Value
Returns matrix of predicted values (except "cox")
Examples
1
palasso documentation built on April 19, 2021, 5:07 p.m.
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Description Usage Arguments Value Examples
Description
Repeatedly leaves out samples, and predicts their response.
Usage
1 |
Arguments
y |
response: vector of length n |
x |
covariates: matrix with n rows (samples) and k * p columns (variables) |
foldid |
fold identifiers:
vector of length n,
with entries from 1 to |
lambda |
lambda sequence: vector of decreasing positive values |
args |
options for paired lasso: list of arguments (output from .dims and .args) |
Value
Returns matrix of predicted values (except "cox")
Examples
1 |
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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