getN

This function counts the number of events within a specified time.

Quasi likelihood-based methods for estimating linear and log-linear Poisson Network Autoregression models with p lags and covariates. Tools for testing the linearity versus several non-linear alternatives. Tools for simulation of multivariate count distributions, from linear and non-linear PNAR models, by using a specific copula construction. References include: Armillotta, M. and K. Fokianos (2023). "Nonlinear network autoregression". Annals of Statistics, 51(6): 2526--2552. <doi:10.1214/23-AOS2345>. Armillotta, M. and K. Fokianos (2024). "Count network autoregression". Journal of Time Series Analysis, 45(4): 584--612. <doi:10.1111/jtsa.12728>. Armillotta, M., Tsagris, M. and Fokianos, K. (2024). "Inference for Network Count Time Series with the R Package PNAR". The R Journal, 15/4: 255--269. <doi:10.32614/RJ-2023-094>.

Michail Tsagris

PNAR

Poisson Network Autoregressive Models

Mirko Armillotta

Konstantinos Fokianos

getN function

<dl><dt>x</dt>
<dd>A matrix of (positive) inter-event times.</dd><dt>tt</dt>
<dd>A positive time.</dd></dl>

Arguments

Mirko Armillotta, Michail Tsagris and Konstantinos Fokianos.

Author

Count the number of events within a specified time — getN

<dl>

<dt>x</dt>
<dd>A matrix of (positive) inter-event times.</dd>

<dt>tt</dt>
<dd>A positive time.</dd>

</dl>

getN: Count the number of events within a specified time

Description

Usage

Value

Arguments

Author

See Also

Examples