recover_alpha: Recover the latent spatial parameters alpha

In jtipton25/BayesMRA: Bayesian Multi-Resolution Gaussian Process Approximations

Recover the latent spatial parameters alpha

Description

Recover the latent spatial parameters alpha

Usage

recover_alpha(out, n_message = 100, constraint = "unconstrained")

Arguments

out	The output from mcmc_mra_integrated()
n_message	A positive integer number of frequency of iterations
constraint	What constraint should be applied to the spatial process? Options include no constraint (constraint = "unconstrained"), a constraint so the entire MRA process sums to 0 (constraint = "overall"), a constraint so that each of the M levels of the MRA process sum to 0 (constraint = "resolution"), or whether the predicte process must sum to 0 (constraint = "predicted"). Note: constraint = "predicted" is NOT currently supported.

Value

Composition sampling draws of the spatial coefficients alpha

jtipton25/BayesMRA documentation built on Feb. 28, 2024, 1:27 p.m.