updateTheta: A function to update the initial values of theta, and a...

In RSiena: Siena - Simulation Investigation for Empirical Network Analysis

A function to update the initial values of theta, and a function to update an effects object.

Description

updateTheta copies the final values of any matching selected effects from a sienaFit object to a Siena effects object.
updateSpecification includes in a Siena effects object a set of effects that are included in another effects object.

Usage

updateTheta(effects, prevAns, varName=NULL)
updateSpecification(effects.to, effects.from,
                          effects.extra=NULL, name.to=NULL, name.from=NULL)

Arguments

effects	Object of class sienaEffects.
prevAns	Object of class sienaFit as returned by siena07.
varName	Character string or vector of character strings; is this is not NULL, the update will only applied to this dependent variable / these dependent variables.
effects.to	Object of class sienaEffects.
effects.from	Object of class sienaEffects.
effects.extra	Object of class sienaEffects.
name.to	Character string, name of dependent variable in object.to.
name.from	Character string, name of dependent variable in object.from.

Details

The initial values of any selected effects in the input effects object which match an effect estimated in prevAns will be updated by updateTheta. If the previous run was conditional, the estimated rate parameters for the dependent variable on which the run was conditioned are added to the final value of theta. If varName is not NULL, this update is restricted to effects for the dependent variable/s specified by varName.
By updateSpecification, the effects included in effects.from are also included in effects.to; if name.to and/or name.from is specified, this is restricted to effects for those dependent variables.
If effects.from contains interaction effects, the corresponding main effects will be looked for in effects.from; if they are not found there, they will be looked for in effects.extra. It is not guaranteed that this will be successful. For effects.extra, it is best to use an effects object constructed for the same data set as effects.from, and by the same version of RSiena.

Value

Updated effects object.

Note

Using updateTheta explicitly before calling siena07 rather than using it via the argument prevAns of siena07 will not permit the use of the previous derivative matrix. In most cases, using siena07 with prevAns will be more efficient.

Author(s)

Ruth Ripley, Tom A.B. Snijders

References

See https://www.stats.ox.ac.uk/~snijders/siena/

See Also

siena07, getEffects

Examples

## For updateTheta:
mynet1 <- sienaDependent(array(c(tmp3, tmp4), dim=c(32, 32, 2)))
mydata <- sienaDataCreate(mynet1)
myeff1 <- getEffects(mydata)
myeff1 <- includeEffects(myeff1, transTrip)
myeff1 <- includeInteraction(myeff1, recip, inPop)
myalgorithm <- sienaAlgorithmCreate(nsub=1, n3=100, projname=NULL)
ans <- siena07(myalgorithm, data=mydata, effects=myeff1, batch=TRUE)
ans$theta
(myeff <- updateTheta(myeff1, ans))
##
## For updateSpecification:
myeff2 <- getEffects(mydata)
myeff2 <- includeEffects(myeff2, outAct)
updateSpecification(myeff2, myeff1)

RSiena documentation built on Aug. 8, 2025, 6:05 p.m.