metropolis.control
metropolis.control(
adapt.start = 25,
adapt.window = 200,
adapt.update = 25,
min.sigma = 0.001,
prop.sigma.start = 1,
scale = 2.4
)start adapting after this many iterations; set to iter+1 to turn off adaptation
base acceptance rate on maximum of this many iterations
frequency of adaptation
minimum of the proposal distribution standard deviation (if set to zero, posterior may get stuck)
starting value, or fixed value for proposal distribution s standard deviation
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