MCrow: MCrow
In adw96/DivNet: Diversity Estimation in Networked Ecological Communities
MCrow R Documentation
MCrow
Description
This function simulates MC step for a single row. Should not need to be used by user directly.
Usage
MCrow(Yi, Wi, eYi, Q, base, sigInv, MCiter, stepsize = 1)
Arguments
Yi
row of logratio matrix
Wi
corresponding row of count matrix
eYi
current expected value of logratio matrix
Q
number of OTUs, or length of Wi
base
OTU index used for base
sigInv
current estimate of sigma inverse
MCiter
number of MC samples to generate
stepsize
variance used for MH samples, defaults to 1. Tweak to adjust acceptance ratio
Author(s)
Bryan Martin
adw96/DivNet documentation built on Oct. 2, 2023, 11:49 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| MCrow | R Documentation |
MCrow
Description
This function simulates MC step for a single row. Should not need to be used by user directly.
Usage
MCrow(Yi, Wi, eYi, Q, base, sigInv, MCiter, stepsize = 1)
Arguments
Yi |
row of logratio matrix |
Wi |
corresponding row of count matrix |
eYi |
current expected value of logratio matrix |
Q |
number of OTUs, or length of Wi |
base |
OTU index used for base |
sigInv |
current estimate of sigma inverse |
MCiter |
number of MC samples to generate |
stepsize |
variance used for MH samples, defaults to 1. Tweak to adjust acceptance ratio |
Author(s)
Bryan Martin
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.