Package: sdwd 1.0.6

sdwd: Sparse Distance Weighted Discrimination

Formulates a sparse distance weighted discrimination (SDWD) for high-dimensional classification and implements a very fast algorithm for computing its solution path with the L1, the elastic-net, and the adaptive elastic-net penalties. More details about the methodology SDWD is seen on Wang and Zou (2016) (<doi:10.1080/10618600.2015.1049700>).

Authors:Boxiang Wang and Hui Zou

sdwd_1.0.6.tar.gz
sdwd_1.0.6.zip(r-4.7-x86_64)sdwd_1.0.6.zip(r-4.7-arm64)sdwd_1.0.6.zip(r-4.6-x86_64)sdwd_1.0.6.zip(r-4.6-arm64)sdwd_1.0.6.zip(r-4.5-x86_64)
sdwd_1.0.6.tgz(r-4.6-x86_64)sdwd_1.0.6.tgz(r-4.6-arm64)sdwd_1.0.6.tgz(r-4.5-x86_64)sdwd_1.0.6.tgz(r-4.5-arm64)
sdwd_1.0.6.tar.gz(r-4.7-arm64)sdwd_1.0.6.tar.gz(r-4.7-x86_64)sdwd_1.0.6.tar.gz(r-4.6-arm64)sdwd_1.0.6.tar.gz(r-4.6-x86_64)
sdwd_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sdwd/json (API)

# Install 'sdwd' in R:

install.packages('sdwd', repos = c('https://boxiang-wang.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/boxiang-wang/sdwd/issues

Datasets:

colon - Simplified gene expression data from Alon et al.

On CRAN:

2.30 score 3 scripts 316 downloads 2 mentions 18 exports 2 dependencies

Last updated from:53732f03da. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	86
linux-devel-x86_64	OK	99
source / vignettes	OK	162
linux-release-arm64	OK	75
linux-release-x86_64	OK	106
macos-release-arm64	OK	202
macos-release-x86_64	OK	199
macos-oldrel-arm64	OK	164
macos-oldrel-x86_64	OK	336
windows-devel-arm64	OK	330
windows-devel-x86_64	OK	117
windows-release-arm64	OK	333
windows-release-x86_64	OK	64
windows-oldrel-x86_64	OK	119
wasm-release	OK	77

Exports:coef.cv.sdwd coef.sdwd cv.sdwd cvcompute err error.bars getmin getoutput lambda.interp lamfix nonzero plot.cv.sdwd plot.sdwd predict.cv.sdwd predict.sdwd print.sdwd sdwd zeromat

Dependencies:lattice Matrix

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Sparse Distance Weighted Discrimination	sdwd-package
compute coefficients from a "cv.sdwd" object	coef.cv.sdwd
compute coefficients for the sparse DWD	coef.sdwd
simplified gene expression data from Alon et al. (1999)	colon
cross-validation for the sparse DWD	cv.sdwd
plot the cross-validation curve of the sparse DWD	plot.cv.sdwd
plot coefficients for the sparse DWD	plot.sdwd
make predictions from a "cv.sdwd" object	predict.cv.sdwd
make predictions for the sparse DWD	predict.sdwd
print an sdwd object	print.sdwd
fit the sparse DWD	sdwd