create_table_two: create_table_two
In apeterson91/STAPSimulations: Recreates Simulations in Peterson et al. manuscript

create_table_two

create_table_two(num_sims = 5, num_subj = 100, num_dists = 30,
  alpha = 23, theta = 0.5, shape = 5, delta = -2.2, beta = 0.75,
  alpha_prior = rstap::normal(location = 25, scale = 4, autoscale = F),
  beta_prior = rstap::normal(location = 0, scale = 3, autoscale = F),
  theta_prior = rstap::log_normal(location = 0, scale = 1),
  delta_prior = rstap::normal(location = 0, scale = 3, autoscale = F),
  iter = 4000, warmup = 2000, chains = 1, cores = 1, file = NULL)

`num_sims`	number of simulations to run
`num_subj`	number of subjects to simulate
`num_dists`	number of distances to simulate
`alpha`	intercept for generating outcome
`theta`	true spatial scale under which datasets
`delta`	simulated binary covariate regression effect
`beta`	SAP effect
`alpha_prior`	prior to be placed on intercept in model, must be an rstap:: namespace object
`beta_prior`	prior to be placed on SAP effect
`theta_prior`	prior to be placed on spatial scale
`delta_prior`	prior to be placed on simulated binary covariate effect
`iter`	number of iterations for which to run the stap_glm or stapdnd_glmer sampler
`warmup`	number of iterations to warmup the sampler
`chains`	number of independent MCMC chains to draw #'
`cores`	number of cores with which to run chains in parallel
`num_mesa_subj`	number of subjects to sample from MESA data for MESA analysis