ino: Initialization of Numerical Optimization
Implementation of several initialization strategies for the numerical optimization of real-valued functions, in particular likelihood functions of statistical models.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | ggplot2, rlang, RprobitB, mvtnorm, evd, crayon, progress, dplyr, foreach, doSNOW |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), purrr, pracma |
| Published: | 2022-07-16 |
| Author: | Lennart Oelschläger
 [aut, cre],
Marius Ötting
[aut] |
| Maintainer: | Lennart Oelschläger <oelschlaeger.lennart at gmail.com> |
| BugReports: | https://github.com/loelschlaeger/ino/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/loelschlaeger/ino |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | ino results |
Documentation:
| Reference manual: | ino.pdf |
| Vignettes: |
Example: Hidden Markov Model Introduction |
Downloads:
| Package source: | ino_0.1.0.tar.gz |
| Windows binaries: | r-devel: ino_0.1.0.zip, r-release: ino_0.1.0.zip, r-oldrel: ino_0.1.0.zip |
| macOS binaries: | r-release (arm64): ino_0.1.0.tgz, r-oldrel (arm64): ino_0.1.0.tgz, r-release (x86_64): ino_0.1.0.tgz, r-oldrel (x86_64): ino_0.1.0.tgz |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=ino to link to this page.