discover_hierarchy_and_fit: Find the relationship between the variables in a data set and...
In DoktorMike/datools: A set of useful tools for machine learning consulting using R
Description
Usage
Arguments
Value
Examples
View source: R/variablerelationships.R
Description
Finds the hirarchical relationship between all variables and connects them in a network such as
to optimize the mutual information. This just fits the network selected by HillClimbing using a
Bayesian information criteria (BIC).
Usage
1
Arguments
data
the data.frame containing the observations and variables to inspect
Value
a fitted architecture
Examples
1
2
3
4
data(mtcars)
library(dplyr)
myfit <- discover_hierarchy_and_fit(mtcars)
if (requireNamespace("Rgraphviz")) bnlearn::graphviz.plot(myfit)
DoktorMike/datools documentation built on Feb. 28, 2021, 8:39 a.m.
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Description Usage Arguments Value Examples
View source: R/variablerelationships.R
Description
Finds the hirarchical relationship between all variables and connects them in a network such as to optimize the mutual information. This just fits the network selected by HillClimbing using a Bayesian information criteria (BIC).
Usage
1 |
Arguments
data |
the data.frame containing the observations and variables to inspect |
Value
a fitted architecture
Examples
1 2 3 4 | data(mtcars)
library(dplyr)
myfit <- discover_hierarchy_and_fit(mtcars)
if (requireNamespace("Rgraphviz")) bnlearn::graphviz.plot(myfit)
|
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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