| Name : R-acepack
| |
| Version : 1.4.2
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.1.1
| Date : 2023-09-05 19:31:24
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| Group : Development/Libraries/Other
| Source RPM : R-acepack-1.4.2-lp154.1.1.src.rpm
|
| Size : 0.15 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : ACE and AVAS for Selecting Multiple Regression Transformations
|
Description :
Two nonparametric methods for multiple regression transform selection
are provided. The first, Alternative Conditional Expectations (ACE), is
an algorithm to find the fixed point of maximal correlation, i.e. it
finds a set of transformed response variables that maximizes R^2 using
smoothing functions [see Breiman, L., and J.H. Friedman. 1985.
\"Estimating Optimal Transformations for Multiple Regression and
Correlation\". Journal of the American Statistical Association.
80:580-598. < doi:10.1080/01621459.1985.10478157>]. Also included is the
Additivity Variance Stabilization (AVAS) method which works better than
ACE when correlation is low [see Tibshirani, R.. 1986. \"Estimating
Transformations for Regression via Additivity and Variance
Stabilization\". Journal of the American Statistical Association.
83:394-405. < doi:10.1080/01621459.1988.10478610>]. A good introduction
to these two methods is in chapter 16 of Frank Harrel\'s \"Regression
Modeling Strategies\" in the Springer Series in Statistics.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
