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 [aut, cre], Marius Ötting [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.html , 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: ino_1.1.0.zip, 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

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