Edge Weight Distribution Families
Family-link combinations supported by ergmm.
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.
| 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
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