RENV: Robust Envelope Regression for Sufficient Dimension Reduction
In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities
Description
Usage
Arguments
Value
View source: R/RobustEnvelope.R
Description
This is a modification of the ENV function that uses a robust
estimator of location and scatter to calculate weights, and then the envelope regression
is run on the re-weighted data.
Usage
1
Arguments
formula
model formula
data
data frame
rank
number of dimensions
yrank
number of dimensions for a multivariate response.
se
should standard errors for the regression basis be calculated? defaults to TRUE.
Value
an sdr object
abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.
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Description Usage Arguments Value
View source: R/RobustEnvelope.R
Description
This is a modification of the ENV function that uses a robust
estimator of location and scatter to calculate weights, and then the envelope regression
is run on the re-weighted data.
Usage
1 |
Arguments
formula |
model formula |
data |
data frame |
rank |
number of dimensions |
yrank |
number of dimensions for a multivariate response. |
se |
should standard errors for the regression basis be calculated? defaults to TRUE. |
Value
an sdr 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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