README.md
In leifeld/tnam: Temporal Network Autocorrelation Models (TNAM)
tnam
Temporal (and Cross-Sectional) Network Autocorrelation Models (TNAM).
Archival notice
The package uses maximum pseudolikelihood for estimation, which is likely biased. Consider using the multiparametric spatio-temporal autoregressive (M-STAR) model instead if you have temporal data. If you have a cross-sectional dataset, consider using the BANAM package. The tnam package is archived until better estimation routines have been implemented, but there are currently no plans for this.
leifeld/tnam documentation built on July 7, 2023, 7:54 a.m.
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tnam
Temporal (and Cross-Sectional) Network Autocorrelation Models (TNAM).
Archival notice
The package uses maximum pseudolikelihood for estimation, which is likely biased. Consider using the multiparametric spatio-temporal autoregressive (M-STAR) model instead if you have temporal data. If you have a cross-sectional dataset, consider using the BANAM package. The tnam package is archived until better estimation routines have been implemented, but there are currently no plans for this.
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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