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The goal of tsfgrnn is to forecast time series using GRNN regression.
You can install the released version of tsfgrnn from CRAN with:
And the development version from GitHub with:
This is a basic example which shows how to forecast with tsfgrnn:
library(tsfgrnn)
pred <- grnn_forecasting(USAccDeaths, h = 12)
pred$prediction # To see a time series with the forecasts
#> Jan Feb Mar Apr May Jun Jul
#> 1979 8148.640 7237.667 8131.874 8466.715 9440.860 9793.261 10896.977
#> Aug Sep Oct Nov Dec
#> 1979 10184.601 9463.049 9412.852 8985.240 9583.652
plot(pred) # To see a plot with the forecast
To know more, the open access paper Francisco Martinez et al. (2022) describes the package. Also, you can read the package’s vignette.
Funds: This work was partially supported by the project TIN2015-68854-R (FEDER Founds) of the Spanish Ministry of Economy and Competitiveness.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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