nginar.sim: Function nginar.sim
In projecttsinteger/tsintegerpackage: Time series of counts analysis
Description
Usage
Arguments
Value
References
See Also
Examples
Description
Simulate from an Inar model
Usage
1
nginar.sim(n, alpha, mu, n.start = 150)
Arguments
n
A strictly positive integer.
alpha
a vector of INAR coefficients.
mu
a vector.
n.start
the length of 'burn-in' period. If na, the default, a reasonable valve is computed.
Value
A time-series object of class "ts".
References
Ristic, M.M., Bakouchb, H.S. and Nasti, A.S. (2009)
A newgeometricfirst-orderinteger-valuedautoregressive (NGINAR(1)) process .
Journal of Statistical Planning and Inference, 139, 2218–2226.
See Also
Examples
1
2
3
# A new geometric INAR simulation
ts.sim <- nginar.sim(n = 100, alpha = 0.4, mu = 2)
ts.plot(ts.sim)
projecttsinteger/tsintegerpackage documentation built on May 26, 2019, 8:34 a.m.
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Description Usage Arguments Value References See Also Examples
Description
Simulate from an Inar model
Usage
1 | nginar.sim(n, alpha, mu, n.start = 150)
|
Arguments
n |
A strictly positive integer. |
alpha |
a vector of INAR coefficients. |
mu |
a vector. |
n.start |
the length of 'burn-in' period. If na, the default, a reasonable valve is computed. |
Value
A time-series object of class "ts".
References
Ristic, M.M., Bakouchb, H.S. and Nasti, A.S. (2009) A newgeometricfirst-orderinteger-valuedautoregressive (NGINAR(1)) process . Journal of Statistical Planning and Inference, 139, 2218–2226.
See Also
Examples
1 2 3 | # A new geometric INAR simulation
ts.sim <- nginar.sim(n = 100, alpha = 0.4, mu = 2)
ts.plot(ts.sim)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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