Description Usage Arguments Details Value Examples
View source: R/execute_roll_linear.R
predicted value from rolling based regression
1 | execute_roll_linear(a, window_size)
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target |
single stock |
rolling |
window size |
this function will return the rolled_input return value which contains 1) upper boundary preiction, 2)lower boundary prediction, and 3) middle value final prediction for each given period. This can be used as a one guideline to set as bench mark model before using any other prediction models from machine/deep learning
matrix of predicted value,and uppder,lower boundary
1 | prediction_matrix= execute_roll_linear(stock,30)
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