predict: predict.beem

In lch14forever/beem-static: An EM-like algorithm for biomass and microbiome model inference from cross sectional microbial profiling data

Description

Use a trained BEEM-static model to predict biomass, deviation from steady states and violation of model assumption

Usage

## S3 method for class 'beem'
predict(object, dat.new, dev, ncpu = 1, pert.new = NULL)

Arguments

object	output of the EM algorithm
dat.new	OTU count/relative abundance matrix (each OTU in one row)
dev	deviation of the error (for one sample) from the model to be excluded
ncpu	number of CPUs (default: 1)
pert.new	external perturbation presence matrix (each perturbation in one row, each sample in one column) (Default: NULL)

Author(s)

Chenhao Li, Gerald Tan, Niranjan Nagarajan

lch14forever/beem-static documentation built on Aug. 30, 2021, 4:41 p.m.