Related Issues (20)
- ergm() misinterprets a dyad-dependent hint as a dyad-dependent sample-space constraint.
- In missing data MLE, ergm.estimate()'s Hessian based on the original matrices can be non-SPD, if the Hummel step length < 1.
- A scale for proposal and hint "scores"?
- I'm trying to construct a valued ERGM model using `ergm.count`, but the runtime is excessively long.
- Error installing ergm due to lpSolveAPI compilation error HOT 1
- Augment auxiliaries API to enable "eager" evaluation.
- Using an offset together with the Godambe information for the MPLE does not work HOT 3
- levels2 error in nodemix when levels are named HOT 2
- Bus error when running `ergm`: `address 0x0, cause 'invalid alignment'` HOT 8
- GOF documentation for bipartite networks
- Dyadic attributes and graph manipulation HOT 6
- edgecov() and dyadcov() should check that the covariate matrix is of the correct dimension.
- Consider calling glm.fit() instead of glm() HOT 1
- Optional MPLE existence check? HOT 1
- search.ergmTerms behavior -- returns bipartite terms for non-bipartite network HOT 6
- fixedas(present, absent) constraint does not actually ensure edges are present or absent. HOT 5
- Dropped terms appear to result in the estimated log-likelihood being NaN. HOT 7
- After dropping extreme values, MPLE and MLE likelihoods report different numbers of observations.
- ergm uses a non-API call SET_TYPEOF().
- 'ergm' and everything LinkingTo ergm should work with STRICT_R_HEADERS=1.
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from ergm.