After read the bayou/tutorial.md, i still don't know how to set the parameters?

[shuifeng1988]

I hope I can follow the pipeline of the Current Biology paper "Tempo and Pattern of Avian Brain Size Evolution" to analyze my data, but after reading the tutorial.md and methods in the paper, I still don't know how to set the parameters. The methodｓ in paper are as follows, "We implemented this approach by combining 10 parallel chains of 2 million iterations each with a burn-in proportion of 0.3. We allowed only one shift per branch and the total number of shifts was constrained by means of a conditional Poisson prior with a mean equal to 2.5% of the total number of branches in the tree and a maximum number of shifts equal to 5%. Starting points for MCMC chains were set by randomly drawing a number of shifts from the prior distribution and assigning these shifts to branches randomly drawn from the phylogeny with a probability proportional to the size of the clade descended from that branch. The MCMC was initialized without any birth-death proposals for the first 10,000 generations to improve the fit of the model."

I don't know how to run "combining 10 parallel chains of 2 million iterations with a burin-in proportion of 0.3", and don't know how to set the parameters "We allowed only one shift per branch", also don't how to run "The MCMC was initialized without any birth-death proposals for the first 10,000 generations to improve the fit of the model." Could you me?