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)SEL_1.0-4.zip(r-4.6)SEL_1.0-4.zip(r-4.5)
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✨
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.

3.50 score 2 packages 53 scripts 343 downloads 32 mentions 6 exports 2 dependencies

Last updated from:7547bdc0d2. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK107
linux-devel-x86_64OK104
source / vignettesOK144
linux-release-arm64OK98
linux-release-x86_64OK109
macos-release-arm64OK105
macos-release-x86_64OK224
macos-oldrel-arm64OK94
macos-oldrel-x86_64OK218
windows-develOK130
windows-releaseOK79
windows-oldrelOK74
wasm-releaseOK95

Exports:comparePlotgetbinPostknotavequantSELrvSELSEL

Dependencies:latticequadprog