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Merge pull request #21 from boost-R/fac2
Function `factorize` added for tensor product factorization of estimated effects.
2 parents 5fdcac5 + baf6d6c commit 83c8ae1

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DESCRIPTION

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Package: FDboost
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Type: Package
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Title: Boosting Functional Regression Models
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Version: 1.0-0
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Date: 2020-08-31
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Version: 1.1-0
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Date: 2022-06-14
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Authors@R: c(person("Sarah", "Brockhaus", role = "aut",
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email = "Sarah.Brockhaus@stat.uni-muenchen.de"),
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person("David", "Ruegamer", role = c("aut", "cre"),
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refund,
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testthat
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License: GPL-2
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Packaged: 2020-06-20 12:19:33 UTC; brockhaus
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Packaged: 2022-06-14 12:19:33 UTC; brockhaus
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Collate:
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'aaa.R'
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'FDboost-package.R'
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'clr_functions.R'
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'constrainedX.R'
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'crossvalidation.R'
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'factorize.R'
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'FDboostLSS.R'
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'hmatrix.R'
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'methods.R'
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'stabsel.R'
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'utilityFunctions.R'
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RoxygenNote: 7.1.1
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RoxygenNote: 7.2.0
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Encoding: UTF-8
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BugReports: https://github.com/boost-R/FDboost/issues
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URL: https://github.com/boost-R/FDboost
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VignetteBuilder: knitr

NAMESPACE

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S3method(coef,FDboost)
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S3method(cvrisk,FDboost)
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S3method(cvrisk,FDboostLSS)
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S3method(factorize,FDboost)
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S3method(fitted,FDboost)
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S3method(getArgvals,hmatrix)
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S3method(getArgvalsLab,hmatrix)
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S3method(plot,bootstrapCI)
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S3method(plot,validateFDboost)
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S3method(predict,FDboost)
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S3method(predict,FDboost_fac)
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S3method(print,FDboost)
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S3method(print,bootstrapCI)
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S3method(print,validateFDboost)
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export(clr)
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export(cvLong)
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export(cvMa)
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export(factorize)
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export(funMRD)
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export(funMSE)
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export(funRsquared)
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export(truncateTime)
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export(validateFDboost)
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export(wide2long)
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exportClasses(FDboost_fac)
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import(Matrix)
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import(mboost)
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import(methods)
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importFrom(MASS,Null)
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importFrom(MASS,ginv)
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importFrom(Matrix,rankMatrix)
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importFrom(gamboostLSS,GaussianLSS)
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importFrom(gamboostLSS,GaussianMu)
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importFrom(gamboostLSS,GaussianSigma)
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importFrom(graphics,persp)
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importFrom(graphics,plot)
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importFrom(graphics,points)
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importFrom(methods,setOldClass)
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importFrom(mgcv,gam)
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importFrom(mgcv,s)
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importFrom(parallel,mclapply)

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