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

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

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.

MMUPHin documentation built on April 9, 2021, 6:01 p.m.