log_pi_hyper_param: Marginal of the ISI parameter

In JPNotts/Package: Simulate Spike Sequences

Description

Marginal of the ISI parameter

Usage

log_pi_hyper_param(
  d.spikes,
  hyper.param,
  partition = NA,
  heights = NA,
  x = NA,
  end.time = NA,
  prior.hyper.param = c(1, 0.01),
  T.min = NULL,
  max.T.min = NA,
  ISI.type = "Gamma"
)

Arguments

d.spikes	Data frame containing spike sequences
hyper.param	Value of the ISI parameter.
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
prior.hyper.param	Prior of the hyper parameter.
T.min	Refractory period, default set to NULL.
max.T.min	If T.min != NULL, the maximum allowable refractory period.
ISI.type	The ISI distribution.

Value

marginal of the ISI parameter

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