birth: RJMCMC: Birth of a change point.

In JPNotts/Package: Simulate Spike Sequences

Description

RJMCMC: Birth of a change point.

Usage

birth(
  partition,
  heights,
  d.spikes,
  hyper.param,
  cvalue,
  kappa,
  mu,
  kappa0,
  k.max,
  sum.of.prob,
  lambda,
  T.min = NULL,
  max.T.min = NA,
  ISI.type = "Gamma",
  do.log,
  which.heights = "independent"
)

Arguments

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.
d.spikes	Data frame containing spike sequences.
hyper.param	ISI parameter.
cvalue	parameter c in the RJMCMC, to choose which event to perform in MCMC iteration.
kappa	parameter of priors height
mu	parameter of priors height
kappa0	parameter of priors height
k.max	Maximum number of change points in RJMCMC.
sum.of.prob	sum^k.max_i=0 Poi(k | lambda).
lambda	Parameter of the Poisson distribution.
T.min	Refractory period.
max.T.min	Maximal allowed T.min values from d.spikes.
ISI.type	The ISI distribution.
do.log	Flag, where if do.log is true the calculations are computed on the log scale.
which.heights	Method for prior distribution of heights, either 'independent' or 'martingale'.

Value

new partition and heights

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