nlin1_theta_f: Candidate point evaluation for simplicial depth in the...

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/nlin1_theta_f.R

Description

This function precalculates parameters on which depth changes to restirict the region on which the depht statistic has to be evaluated on.

Usage

1

Arguments

dat

Data from an non-linear AR(1) Model without intercept.

Details

The details on the idea and implementation can be found in Kustosz (2016).

Value

t1

Candidate values for theta1.

t2

Candidate values for theta2.

Author(s)

Kustosz, Christoph

References

Kustosz, C. (2016). Depth based estimators and tests for autoregressive processes with application. Ph. D. thesis. TU Dortmund.

See Also

dS_lin2,dS1_lin2,dS2_lin2,dS3_lin2,est_nlin1

Examples

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y <- RandomARMod_nlin1(100, 1.001, 0.2, 15, "0")
thetas <- nlin1_theta_f(y)
plot(thetas$t1, thetas$t2)

ChrisKust/rexpar documentation built on May 6, 2019, 11:48 a.m.