it_sol: Iteratively solve for one feature's shrinked location and...

In biobakery/MMUPHin: Meta-analysis Methods with Uniform Pipeline for Heterogeneity in Microbiome Studies

Iteratively solve for one feature's shrinked location and scale parameters

Description

Iteratively solve for one feature's shrinked location and scale parameters

Usage

it_sol(s_data, g_hat, d_hat, g_bar, t2, a, b, control)

Arguments

s_data	the feature's standardized abundances.
g_hat	the feature's location parameter frequentist estimations.
d_hat	the feature's scale parameter frequentist estimations.
g_bar	EB estimation of location hyper parameters.
t2	EB estimation of location hyper parameters.
a	EB estimation of scale hyper parameters.
b	EB estimation of scale hyper parameters.
control	list of control parameters

Value

matrix of shrinked location and scale parameters.

biobakery/MMUPHin documentation built on March 30, 2024, 4:50 a.m.