This software is a complement to the paper Sj\u00f6din et al 2014<\/a>. There are four parts of the package corresponding to whether the maximum ‘genetic’ or maximum ‘demographic’ contribution is of interest and whether this is done using analytical formulas or simulations.<\/p>\n\n\n\n The data should be in the form of a biallelic marker for which two samples from two populations separated by time have been obtained.<\/p>\n\n\n\n A prerequisite is that there is some information regarding the number of generations that separates the two samples as well as some idea of a smallest (effective) population size of the population that supposedly evolved from the sampled older population to the more recent population.<\/p>\n\n\n\n The programs in MaxCon can then be used to assess a maximum demographic\/genetic contribution from the older population to the more recent that is consistent with the observed samples. The brief ‘Readme.txt’ (included in the zipped file) should be consulted before running the programs. <\/p>\n\n\n\n The simulation code only requires R while the programs relying on the analytical formulas (written in Python and C++) depend on the MPFR<\/a> and GMP<\/a> libraries . Included is also some R code for plotting the results.<\/p>\n\n\n\n