Package: SEL 1.0-4

SEL: Semiparametric Elicitation

Implements a method for fitting a bounded probability distribution to quantiles (for example stated by an expert), see Bornkamp and Ickstadt (2009) for details. For this purpose B-splines are used, and the density is obtained by penalized least squares based on a Brier entropy penalty. The package provides methods for fitting the distribution as well as methods for evaluating the underlying density and cdf. In addition methods for plotting the distribution, drawing random numbers and calculating quantiles of the obtained distribution are provided.

Authors:Bjoern Bornkamp

SEL_1.0-4.tar.gz
SEL_1.0-4.zip(r-4.7-x86_64)SEL_1.0-4.zip(r-4.7-arm64)SEL_1.0-4.zip(r-4.6-x86_64)SEL_1.0-4.zip(r-4.6-arm64)SEL_1.0-4.zip(r-4.5-x86_64)
SEL_1.0-4.tgz(r-4.6-x86_64)SEL_1.0-4.tgz(r-4.6-arm64)SEL_1.0-4.tgz(r-4.5-x86_64)SEL_1.0-4.tgz(r-4.5-arm64)
SEL_1.0-4.tar.gz(r-4.7-arm64)SEL_1.0-4.tar.gz(r-4.7-x86_64)SEL_1.0-4.tar.gz(r-4.6-arm64)SEL_1.0-4.tar.gz(r-4.6-x86_64)
SEL_1.0-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SEL/json (API)

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

On CRAN:

Conda:

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

3.58 score 2 packages 64 scripts 383 downloads 32 mentions 6 exports 2 dependencies

Last updated from:7547bdc0d2. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK112
linux-devel-x86_64OK90
source / vignettesOK137
linux-release-arm64OK83
linux-release-x86_64OK83
macos-release-arm64OK107
macos-release-x86_64OK271
macos-oldrel-arm64OK115
macos-oldrel-x86_64OK472
windows-devel-arm64OK325
windows-devel-x86_64OK130
windows-release-arm64OK316
windows-release-x86_64OK66
windows-oldrel-x86_64OK72
wasm-releaseOK92

Exports:comparePlotgetbinPostknotavequantSELrvSELSEL

Dependencies:latticequadprog