create_table_one: create_table_one for one sample size in AoAS paper
In apeterson91/STAPSimulations: Recreates Simulations in Peterson et al. manuscript

create_table_one for one sample size in AoAS paper

create_table_one(num_sims = 5, num_subj_processes = 11L,
  num_dist_processses = 4L, num_mesa_subj = 50L, alpha = 23,
  theta = 0.5, delta = -2.2, beta = 0.75, beta_bar = 0.85,
  sigma = 1, 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), skip_MESA = FALSE, iter = 4000, warmup = 2000, chains = 1,
  cores = 1, seed = NULL, file = NULL)

`num_sims`	number of simulations to run
`num_subj_processes`	number of subject processes to simulate
`num_mesa_subj`	number of subjects to sample from MESA data for MESA analysis
`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
`skip_MESA`	Boolean value that indicates whether to run MESA model or not
`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
`file`	path to file to save tables to in .tex format
`num_dists_processes`	number of distance processes to simulate

list of two table components table1_top - which includes the coverage and diagnostic statistics broken down by parameter and The remaining "raw" table component contains the pre-aggregation data-frames

apeterson91/STAPSimulations documentation built on May 11, 2020, 4:54 a.m.