Description Usage Arguments Value
Perform a meta-analysis of studies in which external control arms were
compared to internal control arms using rjags
. You can view the
ecmeta()
documentation for more general details.
1 2 3 4 5 6 7 8 9 10 11 | ecmeta_jags(
data,
n_chains = 1,
n_iter = 1000,
thin = 1,
n_burnin = 0,
n_adapt = 1000,
quiet = FALSE,
prior_mu = normal(0, 100),
prior_scale = invgamma(0.001, 0.001)
)
|
data |
A |
n_chains |
The number of parallel chains for the model. Passed to
|
n_iter |
Number of iterations to monitor. Passed to |
thin |
Thinning interval for monitors. Passed to |
n_burnin |
Number of |
n_adapt |
The number of iterations for adaptation. Passed to |
quiet |
If |
prior_mu |
Prior for |
prior_scale |
Prior for the scale parameter, which is either |
An ecmeta_jags
object, which is a list containing the following elements:
A coda::mcmc.list
object containing samples of the model parameters.
The data
object.
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