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stefanlinner authored and cran-robot committed Mar 6, 2024
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29 changes: 29 additions & 0 deletions DESCRIPTION
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Package: boostrq
Type: Package
Title: Boosting Regression Quantiles
Version: 1.0.0
Authors@R:
person(given = "Stefan",
family = "Linner",
role = c("aut", "cre", "cph"),
email = "stefan.linner97@gmail.com")
Description: Boosting Regression Quantiles is a component-wise boosting algorithm,
that embeds all boosting steps in the well-established framework
of quantile regression. It is initialized with the corresponding quantile,
uses a quantile-specific learning rate, and uses quantile regression as its base learner.
The package implements this algorithm and allows cross-validation and stability selection.
License: GPL (>= 2)
URL: https://github.com/stefanlinner/boostrq
BugReports: https://github.com/stefanlinner/boostrq/issues
Encoding: UTF-8
Depends: mboost, stabs, stats, parallel
Imports: quantreg, checkmate
RoxygenNote: 7.2.3
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-03-02 08:53:32 UTC; stefa
Author: Stefan Linner [aut, cre, cph]
Maintainer: Stefan Linner <stefan.linner97@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 11:00:06 UTC
30 changes: 30 additions & 0 deletions MD5
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7c191ef5603bc5b38ece3ba9df0f9457 *DESCRIPTION
8cd93ee3650f9c6217f44449db3837a2 *NAMESPACE
3a3799754b2c004a88a8915248a6bef3 *R/boostrq.R
3b8aa0b6af83001660ec3f45dbc3d188 *R/brq.R
18ba82fe10d05c1bba528acfc16e4876 *R/confint.R
e343555bc0f8f53b4d0558021909686f *R/cv.R
0e7bbece585bbfe4fa0febd012eec6ef *R/loss.R
6adbcb10535fe23a1e1c04d0fae867d3 *R/methods.R
149f16fc252c97e7c0acedda1963b4e6 *R/stabsel.R
19cdbc9f9a6060d2e43b8fc81a3229c7 *README.md
3aa44add70dd5378763ad22338e40f85 *man/boostrq.Rd
1b4d9ae25e2c6bda9a9db65288728d47 *man/brq.Rd
796c3ef654f408cba0dc205c546f6777 *man/coef.boostrq.Rd
7777e8d68c5264cfb5391808f05554f0 *man/cvrisk.boostrq.Rd
2fee9b808b0aefdaabc9241e2cd3845d *man/fitted.boostrq.Rd
8eb0a055a09b45fd2d8bd7abb7e84928 *man/mstop.boostrq.Rd
ad283d55b4fda6d4b4de08d6244ebc0c *man/predict.boostrq.Rd
88ee8e8304999f22bcc39551108f1d76 *man/print.boostrq.Rd
8ee421b20e195bb366d1789ec39b2e54 *man/print.summary.boostrq.Rd
12108c20efce65df8252d8de740ea2bb *man/residuals.boostrq.Rd
9254b224bb277eaaea28d015325690ac *man/risk.boostrq.Rd
04ca97c2192921f823b7adf3595e78e9 *man/selected.boostrq.Rd
f676a8562e1718be83b062530097499b *man/stabsel.boostrq.Rd
fd53d9d312f255842d0b8aa74c3b968d *man/sub-.boostrq.Rd
5b04ac45162f3a80c0c07866092f8000 *man/summary.boostrq.Rd
27eda6b079a1b8b752be641879553fac *man/update.boostrq.Rd
b9aa464bbd8b1e6b844b3c9863894aee *tests/testthat.R
00be63dfd767c396a8a045ad49a3c146 *tests/testthat/test-boostrq_output.R
d60b24c6848ddf89078cb3706024a2de *tests/testthat/test-brq.R
e4bb818671c4d6318f44bda0181e9d11 *tests/testthat/test-condition_handling.R
21 changes: 21 additions & 0 deletions NAMESPACE
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# Generated by roxygen2: do not edit by hand

S3method("[",boostrq)
S3method(coef,boostrq)
S3method(cvrisk,boostrq)
S3method(fitted,boostrq)
S3method(mstop,boostrq)
S3method(predict,boostrq)
S3method(print,boostrq)
S3method(print,summary.boostrq)
S3method(residuals,boostrq)
S3method(risk,boostrq)
S3method(selected,boostrq)
S3method(stabsel,boostrq)
S3method(summary,boostrq)
S3method(update,boostrq)
export(boostrq)
export(brq)
import(mboost)
import(parallel)
import(stabs)

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