moretrees_compute_thetas: Here's a brief description. 'moretrees_compute_thetas'...

In IQSS/moretrees: Multi-Outcome Regression with Tree-Structured Shrinkage

Description

All the details go here!

Usage

moretrees_compute_thetas(
  mod,
  ci_level,
  W_method = "shared",
  method = "tree",
  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.
W_method	A string, either "shared" or "individual"
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.

Details

NA

See Also

Other MOReTreeS functions: moretrees_compute_betas(), moretrees_design_matrix(), moretrees_design_tree(), moretrees_init_W_logistic(), moretrees_init_logistic(), moretrees_init_rand(), moretrees()

IQSS/moretrees documentation built on March 20, 2020, 8:44 p.m.