getBMS: getBMS
In MinJinHa/PRECISE: Personalized Cancer-specific Integrated Network Estimation
Description
Usage
Arguments
Value
Description
Given data and prior information, this function samples all
possible model combinations via MC3 or enumeration and returns
aggregate results. This procedure is performed for all nodes
Usage
1
Arguments
dat
a list of data that includes response vectors and design matrices for all nodes
Gmat
an adjacency matrix for prior causal protein structure
predictiveDensity
a logical value indicating whether predictive density is computed or not
Value
outlast
an output list from bms functions for all nodes
pdlist
an output list from predictive.density function for all nodes
MinJinHa/PRECISE documentation built on May 4, 2019, 1:07 p.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.
Description Usage Arguments Value
Description
Given data and prior information, this function samples all possible model combinations via MC3 or enumeration and returns aggregate results. This procedure is performed for all nodes
Usage
1 |
Arguments
dat |
a list of data that includes response vectors and design matrices for all nodes |
Gmat |
an adjacency matrix for prior causal protein structure |
predictiveDensity |
a logical value indicating whether predictive density is computed or not |
Value
outlast |
an output list from bms functions for all nodes |
pdlist |
an output list from predictive.density function for all nodes |
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.