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Offline calculations for model artefacts from a bmoe model fit.

Usage

extract_y_posterior_mean(object, new_data)

extract_y_posterior_sd(object)

extract_allocation_probs(object, new_data)

extract_allocation_samples(object, new_data)

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.

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_y_posterior_mean()

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

  • extract_y_posterior_sd()

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

  • extract_allocation_probs()

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

  • extract_allocation_samples()

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

See also

Allocated versions of these functions.