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 |
| 7 | normal_identity | normal.identity | Continuous | normal | identity |
.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 functions, of the form pY.-,
lpY.-, EY.-, dlpY.deta.-, dlpY.ddispersion.-,
lpYc.-, rsm.-, followed by the family's name, for the
respective family's 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.