doc updates needed

[martinamorris]

I'm not sure why these examples are using ergm, rather than tergm:

tergm/R/InitErgmTerm.netseries.R

Lines 60 to 71 in 6af791b

	#' # Method 1: list of networks
	#' monks <- NetSeries(list(samplk1,samplk2,samplk3))
	#' ergm(monks ~ Form(~edges)+Diss(~edges))
	#' ergm(monks ~ Form(~edges)+Persist(~edges))
	#'
	#' # Method 2: networks as arguments
	#' monks <- NetSeries(samplk1,samplk2,samplk3)
	#' ergm(monks ~ Form(~edges)+Diss(~edges))
	#' ergm(monks ~ Form(~edges)+Persist(~edges))
	#'
	#' # Method 3: networkDynamic and time points:
	#' ## TODO

The ToDo also needs to be Done ;)

Perhaps related -- I'm not able to fit a tergm with a NetSeries object (see #49)

[krivit]

Since a tergm CMLE is just an ergm with some extra info, these are examples of how NetSeries() adds this extra info.

[martinamorris]

right, but if you're using tergm and this is what you get for help, it's not very helpful.

[krivit]

Fair enough. Suggested edits?

[martinamorris]

Seems like the examples should show 2 things: how to construct a NS object from other objects, and what functions an NS object can be passed to. Yes? If so:

For construction:

1. add the networkDynamic case -- turn an nD object into a NetSeries object, and also the reverse case if that's possible?

• note: i tried this:

data(samplk)
samp.list <- list(samplk1,samplk2)
samp.series <- NetSeries(samp.list)
samp.dyn <- networkDynamic(network.list = samp.list, start=1)
samp.dyn2series <- NetSeries(samp.dyn, times = c(1:2)) # worked
samp.series2dyn <- networkDynamic(samp.series, start=1) # didn't work

is the series2dyn transform not possible?

For use:

1. swap out tergm for ergm if it's that easy -- maybe worth having the same example show the use of both?
2. show a case using summary
3. any other functions?

i'm happy to do this if you answer the q's about series2dyn and any other functions.

[krivit]

Series 2 dyn should be easy, if there is a networkDynamic constructor from a list of networks. If not, that might take a while.

Regarding the other questions:

1. I think both.
2. Good idea.
3. In principle, we could also plug it into simulate() LHS, since this is a case where both dynamic=TRUE and dynamic=FALSE simulation is valid: we can ask the simulation to "continue" the series, or we can ask the simulation to generate what the networks in the observed series could have been.