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 |
Reference manual: | ino.pdf |
Vignettes: |
Example: Hidden Markov Model Introduction |
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 |
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