Package: fastphylosig 0.3.1

fastphylosig: Fast Phylogenetic Signal Statistics

Provides one-command and method-specific workflows for phylogenetic signal in continuous, binary, and categorical traits. Compiled tree-pruning algorithms implement Blomberg's K and Pagel's lambda without constructing a dense phylogenetic covariance matrix in production. Fritz and Purvis D retains separate random and Brownian null models, while categorical Delta combines discrete ancestral-state likelihoods with MCMC and permutation diagnostics. The package also provides reusable prepared trees, explicit tree/data matching, trait-wise missing-value handling, conservative tree diagnostics, bounded simulation memory, and structured timing and Monte Carlo uncertainty metadata. Methods follow Blomberg, Garland and Ives (2003) <doi:10.1111/j.0014-3820.2003.tb00285.x> for K, Pagel (1999) <doi:10.1038/44766> for lambda, Fritz and Purvis (2010) <doi:10.1111/j.1523-1739.2010.01455.x> for D, and Borges et al. (2019) <doi:10.1093/bioinformatics/bty800> for categorical Delta.

Authors:Yin Wen [aut, cre]