Modeling evolution in paleontological time-series

Documentation for package `paleoTS' version 0.1-1

akaike.wts	Do model fits for three evolutionary models
as.paleoTS	Paleontological time-series class
fit3models	Do model fits for three evolutionary models
ln.paleoTS	Log transform paleontological time series data
logL.mult	Functions to analyze multiple time-series jointly
logL.RW	Compute log-likelihoods for random walk and stasis models
logL.RWu	Compute log-likelihoods for random walk and stasis models
logL.sameMs	Functions to analyze multiple time-series jointly
logL.sameVs	Functions to analyze multiple time-series jointly
logL.stasis	Compute log-likelihoods for random walk and stasis models
mle.rw	Maximum likelihood parameter estimators
mle.stasis	Maximum likelihood parameter estimators
opt.RW	Numerically find maximum likelihood solutions
opt.RW.mult	Functions to analyze multiple time-series jointly
opt.RW.sameMs	Functions to analyze multiple time-series jointly
opt.RW.sameVs	Functions to analyze multiple time-series jointly
opt.RWu	Numerically find maximum likelihood solutions
opt.stasis	Numerically find maximum likelihood solutions
plot.paleoTS	Plots paleoTS objects
pool.var	Variance heterogeneity test
read.paleoTS	Paleontological time-series class
sim.rw	Simulate evolutionary time-series
sim.stasis	Simulate evolutionary time-series
std.paleoTS	Standardize paleontological time series data
test.var.het	Variance heterogeneity test