r2u
forecast
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r2u
- R2U: R Packages (Cran) as Ubuntu Binaries
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[AUR] User "BioArchLinuxBot" just added over 2000 new packages - 2,71% of the repository
I think this is becoming more common so R users can install pre-compiled binaries for their specific distro to save time on installing. This something similar for Ubuntu.
forecast
- Repost - R Package for Creating Linear Forecasting Models
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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
What are some alternatives?
rspm - RStudio Package Manager
parsel - parallel execution of RSelenium
future - :rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
lmForc - R package for evaluating linear forecasting models.
Packages - Aim to be the bioinformatics repository with more and newer packages
Peptides - An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.
modeltime.ensemble - Time Series Ensemble Forecasting
rtypeform - An R interface to the 'typeform' API.
HoRM - Supplemental Functions and Datasets for "Handbook of Regression Methods"
tsfel - An intuitive library to extract features from time series.
darts - A python library for user-friendly forecasting and anomaly detection on time series.