dot-dims: Dimensionality
In palasso: Sparse Regression with Paired Covariates
.dims R Documentation
Dimensionality
Description
This function extracts the dimensions.
Usage
.dims(y, X, args = NULL)
Arguments
y
response:
vector of length n
X
covariates:
list of matrices,
each with n rows (samples)
and p columns (variables)
args
options for paired lasso:
list of arguments
(output from .dims and .args)
Value
The function .dims extracts the dimensionality.
It returns the numbers of samples,
covariate pairs and covariate sets.
It also returns the number of weighting schemes,
and the names of these weighting schemes.
Examples
NA
palasso documentation built on Sept. 30, 2024, 9:30 a.m.
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| .dims | R Documentation |
Dimensionality
Description
This function extracts the dimensions.
Usage
.dims(y, X, args = NULL)
Arguments
y |
response:
vector of length |
X |
covariates:
list of matrices,
each with |
args |
options for paired lasso: list of arguments (output from .dims and .args) |
Value
The function .dims extracts the dimensionality.
It returns the numbers of samples,
covariate pairs and covariate sets.
It also returns the number of weighting schemes,
and the names of these weighting schemes.
Examples
NA
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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