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A framework for analytically computing the asymptotic confidence intervals and maximum-likelihood estimates of a class of continuous-time Gaussian branching processes defined by Mitov V, Bartoszek K, Asimomitis G, Stadler T (2019) <doi:10.1016/j.tpb.2019.11.005>. The class of model includes the widely used Ornstein-Uhlenbeck and Brownian motion branching processes. The framework is designed to be flexible enough so that the users can easily specify their own sub-models, or re-parameterizations, and obtain the maximum-likelihood estimates and confidence intervals of their own custom models.
| Version: | 1.2.4 |
| Depends: | R (≥ 3.3.0) |
| Imports: | optimx, lbfgsb3c, BB, ape, numDeriv, plyr, rlang, generics, utils, stats |
| Suggests: | testthat |
| Published: | 2024-04-18 |
| Author: | Woodrow Kiang [cre, aut] |
| Maintainer: | Woodrow Kiang <hello at hckiang.com> |
| License: | GPL-3 |
| URL: | https://git.sr.ht/~hckiang/glinvci, https://github.com/hckiang/glinvci |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | glinvci results |
| Reference manual: | glinvci.pdf |
| Vignettes: |
Getting Started with GLinvCI |
| Package source: | glinvci_1.2.4.tar.gz |
| Windows binaries: | r-devel: glinvci_1.2.4.zip, r-release: glinvci_1.2.4.zip, r-oldrel: glinvci_1.2.4.zip |
| macOS binaries: | r-release (arm64): glinvci_1.2.4.tgz, r-oldrel (arm64): glinvci_1.2.4.tgz, r-release (x86_64): glinvci_1.2.4.tgz, r-oldrel (x86_64): glinvci_1.2.4.tgz |
| Old sources: | glinvci archive |
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