ThetaAdditive: Additive intensity function theta(t)

In dpwynne/mmnst: Multiscale Modeling of Neural Spike Trains

Additive intensity function \theta(t)

Description

Calculates the additive intensity function \theta(t) introduced in Ramezan et al. (2014).

Usage

ThetaAdditive(t, f, w0, eta, gamma, terminal.points, ct)

Arguments

t	a numeric vector of time points at which to evaluate the function.
f	a numeric vector containing frequency values.
w0	a numeric vector containing initial phase values.
eta	a numeric vector containing \eta values (contribution of each periodic component to the intensity function).
gamma	a numeric vector containing \gamma values (amplitude of each periodic component in the function).
terminal.points	a numeric vector containing the endpoints of the dyadic partitioning.
ct	a numeric vector containing the estimated piecewise constant intensity function c(t). The length of ct should be a whole number power of 2.

Value

A numeric vector containing the values of the additive intensity function calculated at given time points.

References

Ramezan, R., Marriott, P., and Chenouri, S. (2014), Statistics in Medicine, 33(2), 238-256. doi: 10.1002/sim.5923.

dpwynne/mmnst documentation built on Aug. 1, 2023, 8:08 a.m.