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R/check_priors.R

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#' # on the prior distributions - the resulting pattern aligns with
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#' # our real-world assumptions
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#' model <- insight::download_model("stan_prior_checks_1")
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#' plot(check_priors(model, "mmse"))
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#' check_priors(model, "mmse")
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#'
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#' # model with default (weakly informative) priors, which is poorly
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#' # calibrated. It pushes probability mass almost exclusively to the
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#' # extremes of 0 and 1, leaving the plausible middle range largely
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#' # unsupported
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#' model <- insight::download_model("stan_prior_checks_2")
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#' plot(check_priors(model, "mmse"))
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#' check_priors(model, "mmse")
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#' }
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#' @export
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check_priors <- function(model = NULL, ...) {

man/check_priors.Rd

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