bonsai_test_greater_value: Calculate the weights of all models and choose the selected...
In brunocarlin/forecast.bonsai: Forecasts using the method of cross-validation
Description
Usage
Arguments
Value
Description
Checks all the weights for values greather than min_value.
Usage
1
2
bonsai_test_greater_value(matrix_weights, min_value,
if_all_bellow = FALSE)
Arguments
matrix_weights
A matrix of weights
min_value
a minimun weight to use
if_all_bellow
a choice to avoid the case where all weights = 0
Value
A list with all of the weights
brunocarlin/forecast.bonsai documentation built on May 3, 2019, 5:45 p.m.
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Description Usage Arguments Value
Description
Checks all the weights for values greather than min_value.
Usage
1 2 | bonsai_test_greater_value(matrix_weights, min_value,
if_all_bellow = FALSE)
|
Arguments
matrix_weights |
A matrix of weights |
min_value |
a minimun weight to use |
if_all_bellow |
a choice to avoid the case where all weights = 0 |
Value
A list with all of the weights
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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