residsNormal: Residuals from a Normal model
In rjbgoudie/structmcmc: Structural inference for Bayesian Networks and Variable Selection.
View source: R/cross-validation.R
Description
...
Usage
1
residsNormal(x, train, test, metric = square_error)
Arguments
x
A BN
train
A data frame of training data
test
A data frame of test data
metric
A function that measures the distance
between the predictions and the true values
rjbgoudie/structmcmc documentation built on Nov. 3, 2020, 3:41 a.m.
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View source: R/cross-validation.R
Description
...
Usage
1 | residsNormal(x, train, test, metric = square_error)
|
Arguments
x |
A BN |
train |
A data frame of training data |
test |
A data frame of test data |
metric |
A function that measures the distance between the predictions and the true values |
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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