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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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conda 65.8 kB | linux-aarch64/r-acepack-1.5.1-r44ha805bf2_0.conda  4 hours and 39 minutes ago 7 main
conda 65.0 kB | linux-aarch64/r-acepack-1.5.1-r43ha805bf2_0.conda  4 hours and 39 minutes ago 6 main
conda 71.2 kB | linux-ppc64le/r-acepack-1.5.1-r43h3c41951_0.conda  4 hours and 45 minutes ago 6 main
conda 71.7 kB | linux-ppc64le/r-acepack-1.5.1-r44h3c41951_0.conda  4 hours and 45 minutes ago 5 main
conda 63.8 kB | win-64/r-acepack-1.5.1-r44hb0f4521_0.conda  4 hours and 52 minutes ago 7 main
conda 63.1 kB | win-64/r-acepack-1.5.1-r43hb0f4521_0.conda  4 hours and 53 minutes ago 8 main
conda 63.4 kB | osx-64/r-acepack-1.5.1-r44hb3c2f18_0.conda  4 hours and 58 minutes ago 6 main
conda 62.8 kB | osx-64/r-acepack-1.5.1-r43hb3c2f18_0.conda  4 hours and 58 minutes ago 8 main
conda 65.2 kB | linux-64/r-acepack-1.5.1-r44hb67ce94_0.conda  5 hours and a few seconds ago 9 main
conda 64.7 kB | linux-64/r-acepack-1.5.1-r43hb67ce94_0.conda  5 hours and 2 minutes ago 12 main

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