fc_arima: Univaritate time series with actual datapoints and ARIMA...
In thfuchs/tsRNN: Time Series Forecasting using Recurrent Neural Networks by Keras
Description
Univaritate time series with actual datapoints and ARIMA forecast (data.table
object)
Usage
1
Format
A data.table with 58 rows and 5 variables:
- index
Publishing date of (quarterly) report
- value
Earnings before interest and taxes
- key
"actual" and "predict"
- lo95
95% confidence interval lower barrier
- hi95
95% confidence interval upper barrier
thfuchs/tsRNN documentation built on April 17, 2021, 11:03 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Univaritate time series with actual datapoints and ARIMA forecast (data.table object)
Usage
1 |
Format
A data.table with 58 rows and 5 variables:
- index
Publishing date of (quarterly) report
- value
Earnings before interest and taxes
- key
"actual" and "predict"
- lo95
95% confidence interval lower barrier
- hi95
95% confidence interval upper barrier
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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