run_jags_model: Wrapper function to run the jags model for estimating the...

In mcmsupply: Estimating Public and Private Sector Contraceptive Market Supply Shares

Wrapper function to run the jags model for estimating the proportion of modern contraceptive methods supplied by the public & private Sectors using a Bayesian hierarchical penalized spline model for the national and subnational administration levels

Description

Wrapper function to run the jags model for estimating the proportion of modern contraceptive methods supplied by the public & private Sectors using a Bayesian hierarchical penalized spline model for the national and subnational administration levels

Usage

run_jags_model(
  jagsdata,
  jagsparams = NULL,
  n_iter = 80000,
  n_burnin = 10000,
  n_thin = 35,
  n_chain = 2,
  n_cores = NULL,
  ...
)

Arguments

jagsdata	The object from the mcmsupply::get_modelinputs() function.
jagsparams	The parameters of the JAGS model you wish to review
n_iter	Default is 80000. Number of itterations to do in JAGS model.
n_burnin	Default is 10000. Number of samples to burn-in in JAGS model.
n_thin	Default is 35. Number of samples to thin by in JAGS model.
n_chain	Default is 2. Number of chains to run in your MCMC sample.
n_cores	The number of cores to use for parallel execution in subnational estimation. If not specified, the number of cores is set to the value of options("cores"), if specified, or to approximately half the number of cores detected by the parallel package.
...	Arguments from the mcmsupply::get_modelinputs() function.

Value

returns the jags model object

Examples

raw_data <- get_data(national=TRUE, local=TRUE, mycountry="Nepal")
jagsdata <- get_modelinputs(startyear=1990, endyear=2025.5, nsegments=12, raw_data)
run_jags_model(jagsdata, n_iter=5, n_burnin=1, n_thin=1)

mcmsupply documentation built on May 29, 2024, 11:15 a.m.