Added an example using posterior decoding
Updated to include copyright info for figure
Merge pull request #18 from tlnagy/examples

Added an example using posterior decoding
Added package version information
New example for finding posterior probabilities
Merge pull request #20 from tlnagy/examples

Added new example for finding posterior probabilities
transition matrix, distributions, fb

Dense transition matrix return now by Model.dense_transition_matrix().
This may not always be a good idea, but it's worth having.

Distribution string format changed a bit to make it work. Mixture
distributions were actually broken when writing and then reading in
again due to an error in the log_probability method, and the __str__
method. These have been amended.

In the forward_backward algorithm, tie=False has been toggled. This is a
toggle which allows you to return emission probabilities in a tied
manner, which does not cause the rows to sum to 1. As this feature is
not the normal one, I made it default to false.
added nanopore data example

ProfileHMM.ipynb is an IPython notebook which shows how to make HMM
modules for Profile HMMs using PyPore with an underlying YAHMM model.
HMM modules allow for forked profiles to be made, in addition to linear
HMMs, which can allow for classification of a sequence to be performed
in addition to just alignment to a reference.
fixed profileHMM example