ino: Initialization of Numerical Optimization

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

Version: 1.0.1
Depends: R (≥ 4.0.0), optimizeR (≥ 0.3.1)
Imports: cli, crayon, doSNOW, dplyr, forcats, foreach, ggplot2, glue, mvtnorm, reshape2, rlang, scales
Suggests: covr, devtools, DT, fHMM, knitr, markdown, purrr, pracma, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-06-05
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: Example: Hidden Markov Model
Example: Probit Model
Introduction

Downloads:

Package source: ino_1.0.1.tar.gz
Windows binaries: r-devel: ino_1.0.1.zip, r-release: ino_1.0.1.zip, r-oldrel: ino_1.0.1.zip
macOS binaries: r-release (arm64): ino_1.0.1.tgz, r-oldrel (arm64): ino_1.0.1.tgz, r-release (x86_64): ino_1.0.1.tgz, r-oldrel (x86_64): ino_1.0.1.tgz
Old sources: ino archive

Linking:

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