metropolis.control: metropolis.control
In metropolis: The Metropolis Algorithm

metropolis.control

metropolis.control(
  adapt.start = 25,
  adapt.window = 200,
  adapt.update = 25,
  min.sigma = 0.001,
  prop.sigma.start = 1,
  scale = 2.4
)

`adapt.start`	start adapting after this many iterations; set to iter+1 to turn off adaptation
`adapt.window`	base acceptance rate on maximum of this many iterations
`adapt.update`	frequency of adaptation
`min.sigma`	minimum of the proposal distribution standard deviation (if set to zero, posterior may get stuck)
`prop.sigma.start`	starting value, or fixed value for proposal distribution s standard deviation
`scale`	scale value for adaptation (how much should the posterior variance estimate be scaled by?). Scale/sqrt(p) is used in metropolis_glm function, and Gelman et al. (2014, ISBN: 9781584883883) recommend a scale of 2.4 @return A list of parameters used in fitting with the following named objects adapt.start, adapt.window,adapt.update,min.sigma,prop.sigma.start,scale