Changes in version 0.4.3 (2024-05-05)                  

    o   Seeds set in Vignettes.

                 Changes in version 0.4.2 (2019-01-13)                  

    o   Bug fix for matrices of dimension > 1024.

    o   Added specific support for some non-square matrices:
	Model.lambda.constant.nonsquare, Model.p.constant.nonsquare,
	calibrate_ER.nonsquare.

                 Changes in version 0.4.1 (2017-11-14)                  

    o   Addjusted that non-square matrices can be used (using fixed
	matrices for p and lambda). See the new vignette as an example.

                  Changes in version 0.4 (2017-01-08)                   

    o   Added methods to calibrate models to a given density.

                        Changes in version 0.3.1                        

    o   Fixed parameter range checks for Fitness models.

                  Changes in version 0.3 (2015-12-21)                   

    o   Added Hierarchical Models.

    o   Arbitrary values of the Matrix can now be force to equal 0 (not
	just the diagonal). An error message will be produced if no
	matrix exists for the given row and column sums. The function
	findFeasibleMatrix() supersedes getfeasibleMatrix()

    o   Added automatic choice of thinning to achieve desired relative
	effective sample size (choosethin)

    o   Added possibility to fix elements of L to some values.

    o   Added a fitness based model for the matrix that incorporates
	power laws.

                  Changes in version 0.2 (2015-03-20)                   

    o   First CRAN upload.