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This document describes the process by which ergm
and
related packages select the MCMC proposal for a particular analysis.
Note that it is not intended to be a tutorial as much as a description
of what inputs and outputs different parts of the system expect. Nor
does it cover the C API.
There is a number of factors that can affect MCMC sampling, some of them historical and some of them new:
functions and other structures defined in an accessible namespace
ergm_proposal_table()
a function that if called with no
arguments returns a table of registered proposals and updates it
otherwise. See ? ergm_proposal_table
for documentation and
the meaning of its columns. Of particular interest is its
Constraints
column, which encodes which constraints the
proposal does (always) enforce and which it
can enforce.InitErgmReference.<REFERENCE>
a family of
initializers for the reference distribution. For the purposes of the
proposal selection, among its outputs should be $name
specifying the name of the reference distribution.InitErgmConstraint.<CONSTRAINT>
a family of
initializers for constraints, weightings, and other high-level
specifiers of the proposal distribution. Hard constraints, probabilistic
weights, and hints all use this API. For the purposes of the proposal
selection, its outputs include
$constrain
(defaulting to
<CONSTRAINT>
) a character vector specifying which
constraints are enforced, and can include several semantically nested
elements;$dependence
(defaulting to TRUE
)
specifying whether the constraint is dyad-dependent;$priority
(defaulting to Inf
) specifying
how important it is that the constraint is met (with Inf
meaning that it must be met); and$implies
/$impliedby
specifying which other
constraints this constraint enforces or is enforced by, and this can
include itself for constraints, such as edges
that can only
be applied once.$free_dyads
either an RLEBDM or a function with no
arguments that returns an RLEBDM specifying which dyads are not
constrained by this constraint.arguments and settings passed to the call or as control parameters.
constraints=
argument (top-level): A one-sided formula
containing a +
- or -
-separated list of
constraints. +
terms add additional constraints to the
model whereas -
constraints relax them. -
constraints are primarily used internally observational process
estimation and are not described in detail, except to note that 1) they
must be dyad-independent and 2) they necessitate falling back to the
RLEBDM sampling API.reference=
argument (top-level): A one-sided formula
specifying the ERGM reference distribution, usually as a name with
parameters if appropriate.control$MCMC.prop=
control parameter: A formula whose
RHS containing +
-separated “hints” to the sampler; an
optional LHS may contain the proposal name directly.control$MCMC.prop.weights=
control parameter: A string
selecting proposal weighting (probably deprecated)control$MCMC.prop.args=
control parameter: A list
specifying information to be passed to the proposalMost of this is implemented in the
ergm_proposal.formula()
method:
InitErgmReference.<REFERENCE>
is called with
arguments of reference=
’s LHS, obtaining the name of the
reference.InitErgmConstraint.<CONSTRAINT>
function is called
and their outputs are stored in a list of initialized constraints (an
ergm_conlist
object). .dyads
pseudo-constraint
is added to dyad-independent constraints (not to hints with
$priority < Inf
). For hints, $dependence
element is overwritten to FALSE
. The list is named, with
the name taken from the first element of the $constrains
.
constraints=
MCMC.prop=
$implies
/$impliedby
settings.ergm_proposal_table()
are filtered by Class
, Reference
,
Weights
(if MCMC.prop.weights
differs from
"default"
), and Proposal
(if the LHS of
MCMC.prop
is provided).priority==Inf
, it is discarded.priority<Inf
and that the proposal
doesn’t and can’t enforce, its
(innate, specified in the column of the
ergm_proposal_table()
) Priority
value is
penalised by the priority
of that constraint.InitErgmProposal.*
functions are attempted. If
a call returns NULL
, next proposal is attempted. (This can
be useful if a proposal handles a particular special case that is not
accounted for by constraints.)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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