forecast
parsel
| forecast | parsel | |
|---|---|---|
| 2 | 1 | |
| 1,099 | 15 | |
| - | - | |
| 7.1 | 4.4 | |
| 20 days ago | 5 months ago | |
| R | R | |
| - | GNU General Public License v3.0 or later |
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forecast
- Repost - R Package for Creating Linear Forecasting Models
-
Ask HN: Data Scientists, what libraries do you use for timeseries forecasting?
As a few other people have mentioned, I find R to be the easiest tool for this job, specifically the forecast package [0]. I had to use this package for an applied econometrics course in college a few years ago, and I have been using it ever since. I find the syntax to be more straightforward than comparable libraries in Python. I also assume that this library (and other libraries in R) offer higher quality models and results than their counterparts in Python, but this is just an assumption.
[0] https://github.com/robjhyndman/forecast
parsel
What are some alternatives?
lmForc - R package for evaluating linear forecasting models.
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