abundant-package: Abundant regression and high-dimensional principal fitted...
In abundant: High-Dimensional Principal Fitted Components and Abundant Regression
Description
Details
Author(s)
References
Description
Fit and predict with the high-dimensional principal fitted components model.
Details
The main functions are fit.pfc, pred.response.
Author(s)
Adam J. Rothman
Maintainer: Adam J. Rothman <arothman@umn.edu>
References
Cook, R. D., Forzani, L., and Rothman, A. J. (2012).
Estimating sufficient reductions of the predictors in abundant high-dimensional regressions.
Annals of Statistics 40(1), 353-384.
abundant documentation built on Jan. 4, 2022, 5:08 p.m.
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Description Details Author(s) References
Description
Fit and predict with the high-dimensional principal fitted components model.
Details
The main functions are fit.pfc, pred.response.
Author(s)
Adam J. Rothman
Maintainer: Adam J. Rothman <arothman@umn.edu>
References
Cook, R. D., Forzani, L., and Rothman, A. J. (2012). Estimating sufficient reductions of the predictors in abundant high-dimensional regressions. Annals of Statistics 40(1), 353-384.
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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