metropolis_hastings.py;postprocessing.py;folkman_a_b_c_time.py;figures_Inverse_Proliferation.R;README.md from Bayesian inference of a non-local proliferation model

The main program contains python (Python 3.7.4) code for computing Bayesian inference of a non-local proliferation model.;Auxiliary python (Python 3.7.4) code for computing the mean trajectory of the growth curve of diameters of multicellular spheroids estimated with a non-local proliferation model. The program also returns a MAP estimator for proliferation rate, kernel size, measurement error, and initial colony radius.;Auxiliary python (Python 3.7.4) code for solving a non-local proliferation model. It is intended to generate the data needed to compare the mean trajectory obtained with the Metropolis-Hastings algorithm with the solution obtained with the MAP estimator.;Auxiliary R (version 3.6.2) code to generate figures presenting the results of the random walk Metropolis-Hastings algorithm for the Bayesian inference of a non-local proliferation function.;The short text file contains an explanation of the purposes of executable files.