This package facilitates analysis of paleontological
sequences of trait values from an evolving lineage.  Functions
are provided to fit, using maximum likelihood, evolutionary
models including unbiased random walks, directional evolution,
stasis, and Ornstein-Uhlenbeck models.  Newly added since
version (0.3-1) are functions to analyze punctuations and
models in which evolutionary dynamics change over the course of
a time-series of trait values.

This package facilitates analysis of paleontological
sequences of trait values from an evolving lineage.  Functions
are provided to fit, using maximum likelihood, evolutionary
models including unbiased random walks, directional evolution,
stasis, Ornstein-Uhlenbeck, punctuated change, and evolutionary
models in which traits track some measured covariate.

This package facilitates analysis of paleontological sequences of trait values from an evolving lineage.  Functions are provided to fit, using maximum likelihood, evolutionary models including unbiased random walks, directional evolution, stasis, Ornstein-Uhlenbeck, punctuated change, and evolutionary models in which traits track some measured covariate.

his package facilitates analysis of paleontological
sequences of trait values from an evolving lineage.  Functions
are provided to fit, using maximum likelihood, evolutionary
models including unbiased random walks, directional evolution,
stasis, Ornstein-Uhlenbeck, punctuated change, and evolutionary
models in which traits track some measured covariate.

mnormt, doParallel, parallel, foreach, iterators
Facilitates analysis of paleontological sequences of trait values from an evolving lineage.  Functions are provided to fit, using maximum likelihood, evolutionary models including unbiased random walks, directional evolution, stasis, Ornstein-Uhlenbeck, punctuated change, and evolutionary models in which traits track some measured covariate.

person("Gene", "Hunt", email = "hunte@si.edu", role = c("aut", "cre"))
Facilitates analysis of paleontological sequences of trait values.
Functions are provided to fit, using maximum likelihood, simple
evolutionary models (including unbiased random walks, directional
evolution,stasis, Ornstein-Uhlenbeck, covariate-tracking) and
complex models (punctuation, mode shifts).
mnormt, foreach, iterators, parallel, doParallel