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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: ino_1.1.0.zip, r-oldrel: ino_1.1.0.zip
macOS binaries: r-release (arm64): ino_1.1.0.tgz, r-oldrel (arm64): ino_1.1.0.tgz, r-release (x86_64): ino_1.1.0.tgz, r-oldrel (x86_64): ino_1.1.0.tgz
Old sources: ino archive

Linking:

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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.