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Fit, Simulate and Diagnose Exponential-Family Models for Networks

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In light of https://github.com/statnet/ergm/issues/478, `NodematchFilter()` operator, which I had originally put together to test the API, may be worth making more prominent, and that might involve renaming it to something...

Type: Question
Type: Enhancement
Component: Terms

For dense networks, they silently return incorrect results that may be mysterious to some users (#484). It should be reasonably safe to simply have the relevant `c_` functions return an...

Status: Help Wanted
Type: Bug
Language: C
Language: R
Component: Terms

The branch consolidates control arguments to the likelihood functions used in ergm.estimate into a single list variable called "control.llik". This simplifies the calls to the functions. The branch also adds...

I added code to estimate MPLE covariance matrices. If a user requests the MPLE of a dyad-dependent model, standard errors are obtained from the glm()-function, which uses the inverse Hessian...

I notice that the calculation of `dgwesp` term is lower than what it should be for both "OTP" (outgoing two-paths) and "ITP" (incoming two-paths). Interestingly, the `gwesp` term, when applied...

I am currently working with a directed network, wanting to run a valued ERGM with weighted edges representing the frequency of connections made between the vertices. While a unvalued ERGM...

# Term description This stems from [this question on Stack Overflow](https://stackoverflow.com/questions/68070465/homophily-across-two-attributes-with-nodematch-in-r-package-ergm): generalising it, suppose that each node `i` has some *set* `A[i]` of *properties* (I am avoiding "attributes", since we...

Type: Question
Type: Enhancement
Language: C
Language: R
Component: Terms
Language: Roxygen

Right now, if `ergm()` is given `target.stats=`, it runs `san()` to obtain the LHS network, calls it `TARGET_STATS`, then replaces the LHS of the model formula with `TARGET_STATS` (the name),...

Type: Question
Type: Enhancement
Language: R
Component: Estimation

Formulas come with an environment in which their terms should be evaluated, e.g., `~nodefactor(x)`, where `x` is a variable present in the formula's environment. If the environment changes, the formula...