moretrees_compute_thetas: 'moretrees_compute_thetas' Computes MOReTreeS estimates and...

In emgthomas/moretrees_pkg: Multi-Outcome Regression with Tree-Structured Shrinkage

Description

moretrees_compute_thetas Computes MOReTreeS estimates and credible intervals for covariate effects from model output

Usage

moretrees_compute_thetas(mod, ci_level, m, A_leaves = NULL)

Arguments

mod	List containing outputs from spike and slab VI algorithm
ci_level	A number between 0 and 1 giving the desired credible interval. For example, ci_level = 0.95 (the default) returns a 95% credible interval.
m	Integer number of variables in covariate matrix W
A_leaves	pL x p sparse ancestor Matrix where rows correspond to leaves of tree (outcomes) and columns correspond to nodes on tree. Results in mod must have same ordering as columns of A_leaves.

Value

A matrix containing the estimates and confidence intervals.

See Also

Other Processing model output: ml_by_group, moretrees_compute_betas

emgthomas/moretrees_pkg documentation built on June 20, 2020, 6:13 p.m.