posterior_crossvalidation: Posterior cross-validation for fitted models

In rSPDE: Rational Approximations of Fractional Stochastic Partial Differential Equations

Posterior cross-validation for fitted models

Description

Generic function for posterior cross-validation.

Usage

posterior_crossvalidation(object, ...)

## S3 method for class 'list'
posterior_crossvalidation(object, ..., tibble = TRUE, return_indices = FALSE)

## Default S3 method:
posterior_crossvalidation(object, ...)

Arguments

object	A fitted model, or a (preferably named) list of fitted models. The elements of a list can be of any class with a posterior_crossvalidation method, so for instance rspde_lme and graph_lme fits can be compared in one call.
...	Arguments passed on to the methods. For a list of models, only the arguments that are supplied are passed on, so each method uses its own defaults for the rest.
tibble	If TRUE (default), the scores for a list of models are returned as a tibble with a Model column.
return_indices	If TRUE, the train/test indices used for the first model are also returned.

Value

A list with elements mu, var and scores, and indices if requested. For a list of models, mu and var are lists with one element per model, and scores has one row per model.

rSPDE documentation built on Nov. 10, 2026, 5:08 p.m.