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