families.ergmm {latentnet} | R Documentation |
Family-link combinations supported by ergmm
.
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.
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