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ShiVa: Detection of Evolutionary Shifts in Both Optimal Value and Variance
Implements statistical methods for detecting evolutionary shifts in both the optimal trait value (mean) and evolutionary diffusion variance. The method uses an L1-penalized optimization framework to identify branches where shifts occur, and the shift magnitudes. It also supports the inclusion of measurement error. For more details, see Zhang, Ho, and Kenney (2023) <doi:10.48550/arXiv.2312.17480>.
Getting started
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Package details |
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| Author | Wensha Zhang [aut, cre], Lam Si Tung Ho [aut], Toby Kenney [aut] |
| Maintainer | Wensha Zhang <wn209685@dal.ca> |
| License | GPL (>= 3) |
| Version | 1.0.2 |
| Package repository | View on CRAN |
| Installation |
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