ctree.subscore: fit a ctree with passed data and compute and return its...
In ConvergenceDA/visdom: R package for energy data analytics
Description
This function trains a ctree using data from a passed data.frame and returns the resulting spread score.
Usage
1
ctree.subscore(i, df, nSample = NULL, ctl = NULL, responseVar, ignoreCols)
Arguments
df
data.frame with response variable to be explained and all explanatory variables to be used in ctree classificaiton
nSample
number of samples if hte spread score should be run on a subset of the data
ctl
ctree control to specify ctree model parameters
responseVar
the name of the variable that the ctree is trying to explain
ignoreCols
an optional list of columns in df, but that should be excluded from the ctree modeling
ConvergenceDA/visdom documentation built on May 6, 2019, 12:51 p.m.
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Description
This function trains a ctree using data from a passed data.frame and returns the resulting spread score.
Usage
1 | ctree.subscore(i, df, nSample = NULL, ctl = NULL, responseVar, ignoreCols)
|
Arguments
df |
data.frame with response variable to be explained and all explanatory variables to be used in ctree classificaiton |
nSample |
number of samples if hte spread score should be run on a subset of the data |
ctl |
ctree control to specify ctree model parameters |
responseVar |
the name of the variable that the ctree is trying to explain |
ignoreCols |
an optional list of columns in df, but that should be excluded from the ctree modeling |
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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