Fix to pass optional ... arguments to fitMk in make.simmap

I just pushed a tiny change to make.simmap which allows the optional argument ... to be passed internally to fitMk for Q="empirical" (i.e., empirical Bayesian, in other words setting Q to its MLE).

The reason for this is that in some circumstances fitMk, even though it computes the likelihood no problem, will not converge on the MLE of Q which in turn can cause make.simmap to produce a strange result.

Case in point? The example a showed previously in which a failure to find the correct solution for Q causes the number of estimated changes using make.simmap to be very large (when it should in fact be quite small).

For instance:

library(phytools)
mtree<-make.simmap(tree,x)

## make.simmap is sampling character histories conditioned on the transition matrix
## 
## Q =
##           0         1
## 0 -1.000294  1.000294
## 1  1.000294 -1.000294
## (estimated using likelihood);
## and (mean) root node prior probabilities
## pi =
##   0   1 
## 0.5 0.5

## Done.

plot(mtree,colors=setNames(c("blue","red"),c(0,1)),
    ftype="off",type="fan")

summary(mtree)

## 1 tree with a mapped discrete character with states:
##  0, 1 
## 
## tree has 13731 changes between states
## 
## changes are of the following types:
##      0    1
## 0    0 6836
## 1 6895    0
## 
## mean total time spent in each state is:
##                 0            1    total
## raw  6873.3187518 6733.8689343 13607.19
## prop    0.5051241    0.4948759     1.00

mtree$logL

## [1] -187.8429

Whereas, when we change the optimizer for Q

mtree<-make.simmap(tree,x,opt.method="optim")

## make.simmap is sampling character histories conditioned on the transition matrix
## 
## Q =
##             0           1
## 0 -0.00510456  0.00510456
## 1  0.00510456 -0.00510456
## (estimated using likelihood);
## and (mean) root node prior probabilities
## pi =
##   0   1 
## 0.5 0.5

## Done.

plot(mtree,colors=setNames(c("blue","red"),c(0,1)),
    ftype="off",type="fan")

summary(mtree)

## 1 tree with a mapped discrete character with states:
##  0, 1 
## 
## tree has 71 changes between states
## 
## changes are of the following types:
##    0  1
## 0  0 44
## 1 27  0
## 
## mean total time spent in each state is:
##                 0            1    total
## raw  1.078702e+04 2820.1642667 13607.19
## prop 7.927445e-01    0.2072555     1.00

mtree$logL

## [1] -155.9019

So far I haven't encountered any problems with this - such as can occur when nested functions use optional arguments differently that happen to have the same name. Please don't hesitate to report any problems.

Good night!