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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.2 rolling linux/jammy R-4.5 ShiVa_1.0.2.tar.gz 105.6 KiB
1.0.2 rolling linux/noble R-4.5 ShiVa_1.0.2.tar.gz 105.6 KiB
1.0.2 rolling source/ R- ShiVa_1.0.2.tar.gz 39.4 KiB
1.0.2 latest linux/jammy R-4.5 ShiVa_1.0.2.tar.gz 105.6 KiB
1.0.2 latest linux/noble R-4.5 ShiVa_1.0.2.tar.gz 105.6 KiB
1.0.2 latest source/ R- ShiVa_1.0.2.tar.gz 39.4 KiB
1.0.2 2026-04-26 source/ R- ShiVa_1.0.2.tar.gz 39.4 KiB
1.0.2 2026-04-23 source/ R- ShiVa_1.0.2.tar.gz 39.4 KiB
1.0.2 2026-04-09 windows/windows R-4.5 ShiVa_1.0.2.zip 105.3 KiB

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