Package: monoreg 2.1

Olli Saarela

monoreg: Bayesian Monotonic Regression Using a Marked Point Process Construction

An extended version of the nonparametric Bayesian monotonic regression procedure described in Saarela & Arjas (2011) <doi:10.1111/j.1467-9469.2010.00716.x>, allowing for multiple additive monotonic components in the linear predictor, and time-to-event outcomes through case-base sampling. The extension and its applications, including estimation of absolute risks, are described in Saarela & Arjas (2015) <doi:10.1111/sjos.12125>. The package also implements the nonparametric ordinal regression model described in Saarela, Rohrbeck & Arjas <doi:10.1214/22-BA1310>.

Authors:Olli Saarela, Christian Rohrbeck

monoreg_2.1.tar.gz
monoreg_2.1.tar.gz(r-4.7-arm64)monoreg_2.1.tar.gz(r-4.7-x86_64)monoreg_2.1.tar.gz(r-4.6-arm64)monoreg_2.1.tar.gz(r-4.6-x86_64)
monoreg_2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
monoreg/json (API)

# Install 'monoreg' in R:
install.packages('monoreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • gsl– GNU Scientific Library (GSL)
Datasets:
  • risks - Absolute risks from 7 survival models

On CRAN:

Conda:

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

gsl

1.00 score 8 scripts 186 downloads 4 exports 0 dependencies

Last updated from:6a2108d093. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK106
linux-devel-x86_64OK108
source / vignettesOK193
linux-release-arm64OK110
linux-release-x86_64OK112
wasm-releaseOK90

Exports:getcmatmonoregmonosurvordmonoreg

Dependencies: