Package: outrigger 1.1.0

Elliot H. Young

outrigger: Outrigger Regression

Performs outrigger local polynomial regression/ distributional adaptation, using a score-matching spline estimator of the conditional score function. Details of the method can be found in Young, Shah and Samworth (2026) <doi:10.48550/arXiv.2603.11282>.

Authors:Elliot H. Young [cre], Rajen D. Shah [aut], Richard J. Samworth [aut]

outrigger_1.1.0.tar.gz
outrigger_1.1.0.tar.gz(r-4.7-arm64)outrigger_1.1.0.tar.gz(r-4.7-x86_64)outrigger_1.1.0.tar.gz(r-4.6-arm64)outrigger_1.1.0.tar.gz(r-4.6-x86_64)
outrigger_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
outrigger/json (API)

# Install 'outrigger' in R:
install.packages('outrigger', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 460 downloads 2 exports 15 dependencies

Last updated from:9f4f75a1ae. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK123
linux-devel-x86_64OK121
source / vignettesOK187
linux-release-arm64OK132
linux-release-x86_64OK132
wasm-releaseOK102

Exports:outriggerscore_plots

Dependencies:bootcubaturelatticeMASSMatrixMatrixModelsmgcvnlmenpquadprogquantregRColorBrewerRcppSparseMsurvival