sim.tdlnm {dlmtree}

Creates simulated data for TDLNM

Description

Method for creating simulated data for TDLNM

Usage

sim.tdlnm(sim = "A", error.to.signal = 1)

Arguments

sim

character (A - D) specifying simulation scenario

error.to.signal

scalar value setting error: sigma^2/var(f)

Details

sim.tdlnm

Simulation scenarios:

• Scenario A: Piecewise constant effect

• Scenario B: Linear effect

• Scenario C: Logistic effect, piecewise in time

• Scenario D: Logistic effect, smooth in time

Value

Simulated data and true parameters

Examples

sim.tdlnm(sim = "A", error.to.signal = 1)