paleoTS (version 0.6.2)

mle.GRW: Analytical ML estimator for random walk and stasis models

Description

Analytical ML estimator for random walk and stasis models

Usage

mle.GRW(y)
mle.URW(y)
mle.Stasis(y)

Value

a vector of mstep and vstep for mle.GRW, vstep for mle.URW, and theta and omega for mle.Stasis

Arguments

y

a paleoTS object

Functions

• mle.URW(): ML parameter estimates for URW model

• mle.Stasis(): ML parameter estimates for Stasis model

See Also

fitSimple

Examples

y <- sim.GRW(ms = 1, vs = 1)
w <- mle.GRW(y)
print(w)