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not clear Change works with durational terms or durational operators inside of it #60

@chad-klumb

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@chad-klumb

e.g.

require(tergm)
set.seed(0)
nw <- network.initialize(100, dir = F)
nw <- simulate(nw ~ edges, coef = c(-4), dynamic = TRUE, time.slices = 10, output = "final", monitor = ~Change(~edges + triangle + mean.age + Form(~edges + triangle + mean.age)))
attributes(nw)$stats

produces

> attributes(nw)$stats
Markov Chain Monte Carlo (MCMC) output:
Start = 1 
End = 10 
Thinning interval = 1 
      Change~edges Change~triangle Change~mean.age Change~Form~edges Change~Form~triangle Change~Form~mean.age
 [1,]           78               1        1.000000                78                    1             1.000000
 [2,]          182               5        2.417582               184                    5             1.423913
 [3,]          195              13        3.533333               197                   26             1.554312
 [4,]          176              11        4.522727               101                    6             1.673013
 [5,]          176               7        5.505682                -3                  -22             1.690365
 [6,]          186               9        6.505376               -85                  -45             1.682063
 [7,]          172               5        7.575581              -183                  -66             1.772168
 [8,]          162               3        8.549383              -290                  -85             1.819206
 [9,]          177               4        9.536723              -369                 -105             1.691192
[10,]          189              16       10.597884              -442                 -105             1.662247

I'm surprised to see negative ~Change(~Form(~edges)) and ~Change(~Form(~triangle)) statistics

also not totally clear to me that ~Change(~mean.age) is correct in any sense of the word (but maybe I just need to think about it more)

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