The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

likelihood.contr: Likelihood Contribution Models for Heterogeneous Observation Types

Constructs likelihood models from heterogeneous observation types by composing named contributions. Each observation type (exact, left-censored, right-censored, interval-censored, or custom) contributes independently to the total log-likelihood, which is summed under an i.i.d. assumption. Provides contr_name() for standard R distributions and contr_fn() for user-defined contributions, composed via likelihood_contr() into objects compatible with the likelihood.model inference framework.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: likelihood.model, numDeriv
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-04-01
DOI: 10.32614/CRAN.package.likelihood.contr
Author: Alexander Towell ORCID iD [aut, cre]
Maintainer: Alexander Towell <lex at metafunctor.com>
BugReports: https://github.com/queelius/likelihood.contr/issues
License: MIT + file LICENSE
URL: https://github.com/queelius/likelihood.contr
NeedsCompilation: no
Citation: likelihood.contr citation info
Materials: NEWS
CRAN checks: likelihood.contr results

Documentation:

Reference manual: likelihood.contr.html , likelihood.contr.pdf
Vignettes: Custom Contributions and Model Comparison (source, R code)
Introduction to likelihood.contr (source, R code)
Masked Series Systems (source, R code)

Downloads:

Package source: likelihood.contr_0.1.1.tar.gz
Windows binaries: r-devel: likelihood.contr_0.1.1.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): likelihood.contr_0.1.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=likelihood.contr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.