Abstract
We introduce a Markov chain Monte Carlo simulation and data analysis package thatextends the Cmbeasy software. We have taken special care in implementing an adaptivestep algorithm for the Markov chain Monte Carlo in order to improve convergence. Dataanalysis routines are provided which allow one to test models of the Universe againstmeasurements of the cosmic microwave background, supernovae Ia and Large Scale Structure.We present constraints on cosmological parameters derived from these measurements for aΛCDM cosmology and discuss the impact of the different observational data sets on theparameters. The package is publicly available as part of the Cmbeasy software atwww.cmbeasy.org.
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