Family-link combinations supported by ergmm.
| ID | C name |
R name | Type | Family | Link |
| 1 | Bernoulli_logit |
Bernoulli.logit |
Discrete | Bernoulli | logit |
| 2 | binomial_logit |
binomial.logit |
Discrete | binomial | logit |
| 3 | Poisson_log |
Poisson.log |
Discrete | Possion | log |
| 4 | Bernoulli_cont_logit |
NA | Continuous | Bernoulli | logit |
| 5 | binomial_cont_logit |
NA | Continuous | binomial | logit |
| 6 | Poisson_cont_log |
NA | Continuous | Possion | log |
.link can be omited when not ambiguous. Some families
require an appropriate fam.par argument to be supplied to
ergmm:
a mandatory trials parameter for the
number of trials (same for every dyad) whose success the response
counts represent
a mandatory prior.var and prior.var.df parameter for the prior scale and degrees of freedom of the variance of
the dyad values
Each supported family has a family of R functions, of the form
pY.-, lpY.-, EY.-,
dlpY.deta.-, dlpY.ddispersion.-, lpYc.-, rsm.-, followed by the family's R name,
for the respective family's R name, representing the family's
likelihood, log-likelihood, expectation, derivative of log-likelihood with repect to the linear predictor,
derivative of log-likelihood with respect to the dispersion parameter,
log-normalizing-constant, and random sociomatrix generation functions.
On the C side, similar functions exist, but becuase of static
typing, are also provided for ``continuous'' versions of those
families. These should not be used on their own, but are used in
estimating MKL positions from the posterior distribution.