ConnMatTools 0.3.5 ------------------ * Small fixes to correct for multiple class inheritance of matrices in r-devel. ConnMatTools 0.3.4 ------------------ * Small fix to q.rel.conn.dists.func to let you pass extra arguments to the integrate function. ConnMatTools 0.3.3 ------------------ * Add a CITATION file for package. ConnMatTools 0.3.2 ------------------ * Fix for problems due to cumulative distribution function for relative connectivity sometimes producing values slightly larger than 1. ConnMatTools 0.3.1 ------------------ * Replacing bootstrap approach to solving finite settler pool problem in relative connectivity code with analytic approach based on hypergeometric distributions. ConnMatTools 0.3.0 ------------------ * Finished initial release of package including code for Bayesian-based estimation of relative connectivity. * Also include somes fixes to DPRHomeRange function and a number of minor changes to meet new CRAN standards. ConnMatTools 0.2.1 ------------------ * Alpha release of package including Bayesian-based code for estimating relative connectivity. Most of the central functions are available, plus some tests, but a few more pieces need to be added. ConnMatTools 0.2.0 ------------------ * Alpha release of package including initial code for relative connecitvity estimation from field observations ConnMatTools 0.1.5 ------------------ * Small fixes to avoid errors in test script for optimal splitting of connectivity matrices. ConnMatTools 0.1.4 ------------------ * Updating version to prepare for submission to CRAN and transfer to github. ConnMatTools 0.1.2 ------------------ * Added function written by Marco Andrello for applying eigenvalue perturbation method in Jacobi & Jonsson (2011) to reserve selection based on connectivity. ConnMatTools 0.1.1 ------------------ * Added several tests, a test dataset and functions for calculating basic statistics on connectivity matrices. ConnMatTools 0.1 ---------------- * Initial release containing code for breaking connectivity matrices into subpopulations and running basic spatial population dynamics models. * Needs a lot more debugging and test codes.