check_feasible: Check a step function is feasible.

In JPNotts/Package: Simulate Spike Sequences

Description

A function that checks that the partition and heights of a step function is feasible to be used as an intensity function. The function produces an error if the intensity is not feasible.

Usage

check_feasible(
  d.spikes,
  partition = NA,
  heights = NA,
  x = NA,
  end.time = NA,
  T.min = NULL,
  max.T.min = NA
)

Arguments

d.spikes	Data frame containing spike sequences
partition	Partition of time experiment time. A vector of K values where the first entry is 0 and the last is the end of experiment time.
heights	Vector of (K-1) heights corresponding to the partition.
x	The intensity function
end.time	End of experiment time
T.min	Refractory period, default set to NULL.
max.T.min	If T.min != NULL, the maximum allowable refractory period.

JPNotts/Package documentation built on Oct. 5, 2021, 2:04 p.m.