View source: R/check-input-and-settings.R
check_setup | R Documentation |
"RoBTT"
ensemble implied by the specified priorscheck_setup
prints summary of "RoBTT"
ensemble
implied by the specified prior distributions. It is useful for checking
the ensemble configuration prior to fitting all of the models.
check_setup(
prior_delta = prior(distribution = "cauchy", parameters = list(location = 0, scale =
sqrt(2)/2)),
prior_rho = prior(distribution = "beta", parameters = list(alpha = 1, beta = 1)),
prior_nu = prior(distribution = "exp", parameters = list(rate = 1)),
prior_delta_null = prior(distribution = "spike", parameters = list(location = 0)),
prior_rho_null = prior(distribution = "spike", parameters = list(location = 0.5)),
prior_nu_null = prior_none(),
prior_mu = NULL,
prior_sigma2 = NULL,
truncation = NULL,
models = FALSE,
silent = FALSE
)
prior_delta |
prior distributions for the effect size |
prior_rho |
prior distributions for the precision allocation |
prior_nu |
prior distribution for the degrees of freedom + 2 |
prior_delta_null |
prior distribution for the |
prior_rho_null |
prior distribution for the |
prior_nu_null |
prior distribution for the |
prior_mu |
prior distribution for the grand mean parameter. Defaults to |
prior_sigma2 |
prior distribution for the grand variance parameter. Defaults to |
truncation |
an optional list specifying truncation applied to the data.
Defaults to
|
models |
should the models' details be printed. |
silent |
do not print the results. |
check_setup
invisibly returns list of summary tables.
RoBTT()
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