bayesOmicAssoc: Bayesian model to analyze CNV data
In isglobal-brge/bayesOmic: Bayesian modeling for omic data analysis
View source: R/bayesOmicAssoc.R
Description
Bayesian model to analyze CNV data
Usage
1
2
3
bayesOmicAssoc(group, data, roi = NA, miss.indiv = 0.9,
sig.level = 0.05, n.iter.burn.in = 1000, n.iter = 5000,
thin = 10, n.chain = 2, ...)
Arguments
group
name of grouping variable
data
omic data. It can be a data frame, ...
roi
Range of interest. A vector containing the chromosome number and the start-end positions
miss.indiv
minimum percentage of missing individuals allowed. Default is 0.9
sig.level
significance level
n.iter.burn.in
isglobal-brge/bayesOmic documentation built on April 22, 2020, 8:35 p.m.
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View source: R/bayesOmicAssoc.R
Description
Bayesian model to analyze CNV data
Usage
1 2 3 | bayesOmicAssoc(group, data, roi = NA, miss.indiv = 0.9,
sig.level = 0.05, n.iter.burn.in = 1000, n.iter = 5000,
thin = 10, n.chain = 2, ...)
|
Arguments
group |
name of grouping variable |
data |
omic data. It can be a data frame, ... |
roi |
Range of interest. A vector containing the chromosome number and the start-end positions |
miss.indiv |
minimum percentage of missing individuals allowed. Default is 0.9 |
sig.level |
significance level |
n.iter.burn.in |
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.
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