birth.death.simulant: Simulation of birth-death processes with immigration
In DOBAD: Analysis of Discretely Observed Linear Birth-and-Death(-and-Immigration) Markov Chains

Description Usage Arguments Details Author(s) See Also Examples

A set of functions for simulating and summarizing birth-death simulations

1	birth.death.simulant(t,X0=1,lambda=1,mu=2,nu=1, condCounts=NULL)

`t`	length of the time interval
`lambda`	per particle birth rate
`mu`	per particle death rate
`nu`	immigration rate
`X0`	starting state, a non-negative integer
`condCounts`	is either null or a numeric vector with items named "Nplus" and "Nminus" (possibly from BDsummaryStats).

Birth-death process is denoted by X_t

Function birth.death.simulant returns a BDMC object.

Marc A. Suchard

add.joint.mean.many,add.generator

my.lambda = 2
my.mu = 3
my.nu =1
my.time = 0.5
my.start = 10
my.end = 2
my.n = 2000

# simulate a birth death trajectory
my.simulant=birth.death.simulant(t=my.time,X0=my.start,lambda=my.lambda,mu=my.mu,nu=my.nu)
print(my.simulant)

# summarize the simulated trajectory
BDsummaryStats(my.simulant)