na.row

Returns a vector with elements TRUE/FALSE identifying which rows contain NA elements.

Simulation of, and fitting models for, Generalised Network Autoregressive (GNAR) time series models which take account of network structure, potentially with exogenous variables. Such models are described in Knight et al. (2020) <doi:10.18637/jss.v096.i05> and Nason and Wei (2021) <doi:10.1111/rssa.12875>. Diagnostic tools for GNAR(X) models can be found in Nason et al. (2023) <doi:10.48550/arXiv.2312.00530>.

Matt Nunes

GNAR

Methods for Fitting Network Time Series Models

Kathryn Leeming

Guy Nason

Marina Knight

James Wei

Daniel Salnikov

Mario Cortina Borja

na.row function

<dl><dt>mat</dt>
<dd>a matrix object.</dd></dl>

Arguments

Identifies which rows of a matrix have NAs — na.row

<dl>

<dt>mat</dt>
<dd>a matrix object.</dd>

</dl>

na.row: Identifies which rows of a matrix have NAs

Description

Usage

Value

Arguments

Details

Examples