trunc_bugs: Function for inducing truncation of outcome

In microbiomeDASim: Microbiome Differential Abundance Simulation

Description

Function for inducing truncation of outcome

Usage

trunc_bugs(Y, N, Mu, Sigma, zero_trunc)

Arguments

Y	The original N x 1 vector of simulated multivariate outcomes
N	Total number of observations equal to sum of repeated measurements for all individuals
Mu	N x 1 vector representing the mean values
Sigma	N x N numeric matrix representing the covariance matrix for the feature
zero_trunc	Logical indicator whether to perform zero-truncation

Value

Potentially truncated outcome vector Y

microbiomeDASim documentation built on Nov. 8, 2020, 10:58 p.m.