…the public version ergm 4.0.

The branch consolidates control arguments to the likelihood functions used in ergm.estimate into a single list variable called "control.llik".
This simplifies the calls to the functions.

The branch also adds a simple hook in "ergm.estimate" for the Kpenalty likelihood functions. These are required for the "ergm'tapered" package to interoperate with "ergm".

Also fixed a few documentation typos in "ergm".

…llik

# Conflicts:
#	man/ergm-terms.Rd

These required extensive algebra and computation. However, they dramatically improve the computational speed and accuracy of the Kpenalty method.

Added a MPLE.save.xmat control argument to return the design matrix from the MPLE fit (if any). The current and retained default is to remove it.

control$MCMC.esteq.exclude.statistics allows network statistics to not be included in the estimating equations. There equations determine most convergence diagnostics. For some models there are some terms that are not zero at convergence and should be removed.  For example, this supports tapering models which may have terms with non-specific means. The estimating equations are used in a number of places and the code follows those places.

Specifically, it is a vector of  strings being the names of the statistics to be excluded from
the estimating equations.

It now passes R CMD check