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Allocated versions of generated quantities where allocation samples, z.

Usage

extract_allocated_y_posterior_mean(object, new_data, z = NULL)

extract_allocated_y_posterior_sd(object, new_data, z = NULL)

Arguments

object

Object that inherits from bmoe_fit.

new_data

data frame. Similar structure to original data argument.

Setting new_data = NULL signals for the observed data to be used.

z

bmoe_array. MCMC samples used to integrate out components.

Defaults to extract_allocation_samples().

Value

All quantities returned as bmoe_array() of varying dimension.

Note that n_s_new denotes the number of rows in new_data or the observed data when new_data is NULL valued.

  • extract_allocated_y_posterior_mean()

    • dim(.) = c(n_iters, n_chains, n_s_new, n_y).

  • extract_allocated_y_posterior_sd()

    • Serves different purpose to extract_y_posterior_sd() since parameters are recycled per observation in new_data.

    • dim(.) = c(n_iters, n_chains, n_s_new, n_y).