Modeling evolution in paleontological time-series


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Documentation for package `paleoTS' version 0.1-2

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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