Evaluation function

Usage

ts_eval(net, ego, statistics, ccovar = NULL, parameters)

Arguments

net: matrix, the adjacency matrix representing the relations between actors. Valid values are 0 and 1.
ego: numeric, the ego for which we are going to calculate how its evaluates the network.
statistics: list of names of statistic functions the same length as parameters. See e.g. ts_degree() for a list of available statistic functions.
ccovar: data frame with named time-constant covariates
parameters: vector of numeric values the same length as statistics.

Details

For the mathematical definition of the evaluation function see chapter 12 of the RSiena manual (Ripley et al. 2022) .

References

Ripley RM, Snijders TA, Boda Z, Vörös A, Preciado P (2022). Manual for SIENA version 4.0 (version August 11, 2022). http://www.stats.ox.ac.uk/~snijders/siena/RSiena_manual.pdf.

Examples

ts_eval(net=ts_net1, ego=6, statistics=list(ts_degree, ts_recip),
parameters=c(-2,1))
#> [1] -4
ts_eval(net=ts_net1, ego=10, ccovar=df_ccovar1, statistics=list(ts_degree, ts_recip, ts_transTrip,
ts_transMedTrip, list(ts_egoX, "cov1")), parameters=c(-2,2,7,7,1))
#> [1] 11.4