Package: SHIP 2.0.2

SHIP: Shrinkage Covariance Incorporating Prior Knowledge

The SHIP-package allows the estimation of various types of shrinkage covariance matrices. These types differ in terms of the so-called covariance target (to be chosen by the user), the highly structured matrix which the standard unbiased sample covariance matrix is shrunken towards and which optionally incorporates prior knowledge. The shrinkage intensity is obtained via an analytical procedure.

Authors:Vincent Guillemot [aut, cre], Monika Jelizarow [aut]

SHIP_2.0.2.tar.gz
SHIP_2.0.2.zip(r-4.7)SHIP_2.0.2.zip(r-4.6)SHIP_2.0.2.zip(r-4.5)
SHIP_2.0.2.tgz(r-4.6-any)SHIP_2.0.2.tgz(r-4.5-any)
SHIP_2.0.2.tar.gz(r-4.6-any)SHIP_2.0.2.tar.gz(r-4.5-any)
SHIP_2.0.2.tgz(r-4.5-emscripten)
SHIP.pdf |SHIP.html
SHIP/json (API)

# Install 'SHIP' in R:
install.packages('SHIP', repos = c('https://vguillemot.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vguillemot/ship/issues

Datasets:
  • expl - Small example extracted from a microarray data set.

On CRAN:

Conda:

3.95 score 18 scripts 283 downloads 11 mentions 10 exports 0 dependencies

Last updated from:90a241d35d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK95
source / vignettesOK143
linux-release-x86_64OK100
macos-release-arm64OK132
macos-oldrel-arm64OK121
windows-develOK73
windows-releaseOK68
windows-oldrelOK62
wasm-releaseOK83

Exports:build.targetcheck.pathshrink.estimtarget.helptargetCortargetDtargetFtargetGtargetGpostargetGstar

Dependencies: