HENV: Envelope Estimation of Multivariate Means with Between-Level...
In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities
Description
Usage
Arguments
Value
References
View source: R/EnvelopeModels.R
Description
This model is for fitting a multivariate mean when there is a single categorical predictor. This is
similar to MANOVA.
Usage
1
Arguments
formula
model formula. the response must be multivariate numeric data, and the predictor a single factor.
data
data frame
rank
number of dimensions
se
should standard errors for the regression basis be calculated? defaults to TRUE.
init
an optional initial dimension reduction subspace. defaults to NULL.
Value
an sdr object
References
Su, Z. and Cook, R. D. (2013) Estimation of Multivariate Means with Heteroscedastic Error Using Envelope Models. Statistica Sinica, 23, 213-230.
abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.
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Description Usage Arguments Value References
View source: R/EnvelopeModels.R
Description
This model is for fitting a multivariate mean when there is a single categorical predictor. This is similar to MANOVA.
Usage
1 |
Arguments
formula |
model formula. the response must be multivariate numeric data, and the predictor a single factor. |
data |
data frame |
rank |
number of dimensions |
se |
should standard errors for the regression basis be calculated? defaults to TRUE. |
init |
an optional initial dimension reduction subspace. defaults to NULL. |
Value
an sdr object
References
Su, Z. and Cook, R. D. (2013) Estimation of Multivariate Means with Heteroscedastic Error Using Envelope Models. Statistica Sinica, 23, 213-230.
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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