EstHyper

Estimate the hyper-parameter by calling the <code>gls</code> function. The errors are allowed to be correlated and/or have unequal variances.

 Multiple testing

 False discovery rate

 genetics

 Metagenomics 

 Genomics 

Perform more powerful false discovery control (FDR) for microbiome data, taking into account the prior phylogenetic relationship among bacteria species.  As a general methodology, it is applicable to any type of (genomic) data with prior structure information.

Jun Chen

StructFDR

False Discovery Control Procedure Integrating the Prior
Structure Information

EstHyper function

<dl> <dt>y</dt>
<dd>a vector of z-values.</dd>
 <dt>D</dt>
<dd>a distance matrix defined based on the prior structure. Diagonal have to be zeros.</dd> 
 <dt>init.val</dt>
<dd>initial values for the transformed hyper-parameter. Default is 0.</dd> </dl>

Arguments

Jun Chen

Author

Estimate the Hyper-parameter Using Generalized Least Squares — EstHyper

<dl>

 <dt>y</dt>
<dd>a vector of z-values.</dd>


 <dt>D</dt>
<dd>a distance matrix defined based on the prior structure. Diagonal have to be zeros.</dd>

 
 <dt>init.val</dt>
<dd>initial values for the transformed hyper-parameter. Default is 0.</dd>

 </dl>

EstHyper: Estimate the Hyper-parameter Using Generalized Least Squares

Description

Usage

Value

Arguments

Author

References