run_mcmc: Run Bayesian Model for Se and Sp

In Enpeterson/outputsim: Output Simulation Results

Description

A function that takes in settings for a JAGS run, and parameter settings. Function writes model based on which parameters we are choosing to model, runs JAGS and saves tibbles of MCMC values per simulations. The MCMC tibbles are saved to the output folder by simulation number out of Nsim simulations. Last, there are traceplots and convergence information saved to output folder as part of coda package output.

Usage

run_mcmc(runname, Nchains, Niter, i, modelonegammatrue, modelgammatruect,
  simsetting)

Arguments

runname	Extension to output folder that describes run setting, ie alldata.
Nchains	Number of chains ran by JAGS.
Niter	Number of iterations per chain ran by JAGS.
i	#Simulation number out of Nsim.
modelonegammatrue	Indicator (TRUE or FALSE) if the model includes one parameter for gammatruematvr.
modelgammatruect	Indicator (TRUE or FALSE) if the model includes unique country-year parametes for gammatruematvr.
simsetting	Describes simulation setting.

Value

Takes in jags inputs from run_simulation. Writes and runs specified model. Outputs a tibble of MCMC samples (for all parnames listed below) for the given simulation.

Examples

run_mcmc(runname = "test", Nchains = 1, Niter = 10, i=1, modelonegammatrue = T, modelgammatruect = F, simsetting = "test")

Enpeterson/outputsim documentation built on May 24, 2019, 9:53 a.m.