tergm
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statnet
Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models
Block-diagonal matrix construction and deconstruction and other facilities can live in `ergm.multi`, with `tergm` handling only the temporal components. Other than avoiding code duplication, an added advantage of this is...
Right now, `simulate.tergm()` always attempts to run the temporal process forward. However, for GOF and other purposes, we may want to simulate what the networks in the time series "could...
currently when both "stats" and "monitor" are called, two elements are returned as attributes of the output object (or as a list if `output="stats"`): `stats.gen` for the "stats" and `stats`...
as currently written, the docs say: ``` targets One-sided ergm-style formula specifying statistics whose moments are used for the EGMME. Unused for CMLE and CMPLE. Targets is required for EGMME...
if it's not too much trouble...
currently "NULL", and if not passed it generates erroneous results with no error, see https://github.com/statnet/Workshops-private/issues/24 "first" will probably cover 99% of actual use cases.
Thanks for your contribution. Is TERGM adapted to valued networks?
`predict.ergm()` probably won't quite accomplish what the user expects.
The term values have targets, the coefs don't. Only noticed this in a chance run where 0 made it onto the y-axis at one point and the red line showed...
as currently written, it appears to assume STERGM. for example: https://github.com/statnet/tergm/blob/3080520c3078d903d2c8b2fef749afbf6109f556/R/simulate.tergm.R#L67-L71 if the `monitor` argument can only be used with `Form()` and `Diss()` operators, we should say this, otherwise this...