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ino: Initialization of Numerical Optimization

Analysis of the initialization for numerical optimization of real-valued functions, particularly likelihood functions of statistical models. See <https://loelschlaeger.de/ino/> for more details.

Version: 1.1.0
Depends: R (≥ 4.1.0)
Imports: checkmate, cli, dplyr, future.apply, ggplot2, normalize (≥ 0.1.2), oeli (≥ 0.7.4), optimizeR (≥ 1.2.1), portion (≥ 0.1.2), R6, tidyr, utils
Suggests: knitr, fHMM (≥ 1.3.1), progressr, renv, rmarkdown, scales, TestFunctions, testthat
Published: 2025-07-05
DOI: 10.32614/CRAN.package.ino
Author: Lennart Oelschläger ORCID iD [aut, cre], Marius Ötting ORCID iD [aut], Dietmar Bauer [ctb]
Maintainer: Lennart Oelschläger <oelschlaeger.lennart at gmail.com>
BugReports: https://github.com/loelschlaeger/ino/issues
License: GPL (≥ 3)
URL: https://loelschlaeger.de/ino/, https://github.com/loelschlaeger/ino
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ino results

Documentation:

Reference manual: ino.pdf
Vignettes: Package demo: Hidden Markov Model (source, R code)
Introduction to ino (source, R code)

Downloads:

Package source: ino_1.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): ino_1.1.0.tgz, r-oldrel (x86_64): ino_1.1.0.tgz
Old sources: ino archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ino 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.
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