BLASSO: BLASSO

In lch14forever/BEEM: BEEM: Estimating Lotka-Volterra models from time-course microbiome sequencing data

BLASSO

Description

Function to estimate parameters using gradient matching bayesian lasso

Usage

BLASSO(X, P, Ys, Fs, ncpu, rmSp, vnames, seed = NULL)

Arguments

X	matrix of data (variables in columns, measurements in rows)
P	matrix of perturbation indicators
Ys	matrix of response (variables in columns, measurements in rows)
Fs	matrix of filter indicating whether the Y-X pair is used
ncpu	number of CPU used
rmSp	the index of variable removed for alr transformed data
vnames	the name of species to format output
seed	the seed

Value

a list with alpha, beta, and output in MDSINE's format

lch14forever/BEEM documentation built on April 5, 2025, 11:24 p.m.