plot.bpwpm_prediction: Generic function for plotting bpwpm_predictions objects
In PaoloLuciano/bpwpm2: Bayesian Piece-wise Polynomial Package
Description
Usage
Arguments
Value
Examples
Description
Once a model has been run and evaluated, a prediction can be made using the
function predict.bpwpm. The input matrix X and
output Y are saved and can be plotted against the final PWP expansion
for the model.
Usage
1
2
Arguments
object
of the class bpwpm_prediction
...
other arguments
Value
a series of plots from ggplot2
Examples
1
2
(train_set_prediciton),
(test_set_prediciton)
PaoloLuciano/bpwpm2 documentation built on June 6, 2019, 5:47 p.m.
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Description Usage Arguments Value Examples
Description
Once a model has been run and evaluated, a prediction can be made using the
function predict.bpwpm. The input matrix X and
output Y are saved and can be plotted against the final PWP expansion
for the model.
Usage
1 2 |
Arguments
object |
of the class bpwpm_prediction |
... |
other arguments |
Value
a series of plots from ggplot2
Examples
1 2 | (train_set_prediciton),
(test_set_prediciton)
|
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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