telegram.bot
Develop a Telegram Bot with R (by ebeneditos)
hts
Hierarchical and Grouped Time Series (by earowang)
telegram.bot | hts | |
---|---|---|
1 | 3 | |
106 | 107 | |
- | - | |
0.0 | 0.0 | |
7 months ago | over 1 year ago | |
R | R | |
GNU General Public License v3.0 only | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
telegram.bot
Posts with mentions or reviews of telegram.bot.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Get Whatsapp notification when job ends
Sure. Try checking out github repo of the package I recommend first: https://github.com/ebeneditos/telegram.bot
hts
Posts with mentions or reviews of hts.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-19.
- Time Series Forecasting Compositional Data - no good package exists?
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[P] Fastest and most accurate version of the Exponential Smoothing (ETS) Algorithm for Python
sadly a lot of statistics research is done with R and is unavailable with Python, hopefully this kind of work will also motivate new libraries for Python. I am particularly interested in hierarchical forecasting. Are there Python alternatives to the hts library?(https://github.com/earowang/hts)
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Can anyone explain me hierarchical time series forecating?
Additionally, you could use one of the more complex methods from the aforementioned hts package. This will allow you to make forecasts on all levels of the hierarchy, and use the bootstrapped errors to make adjustments to all forecasts in the hierarchy using a constrained least-squares approach, in order to make all forecasts sum-consistent (make the aggregates of the forecasts equal the forecasts of the aggregates). This allows you to model cannibalisation effects between different products, for example. However for this to work, you'd need quite good models, as the bootstrapped errors are taken as the 'wiggle room' for the adjustments, which means that if you have a badly fitting model, the adjustments might be quite large and no longer make sense (eg. be negative for a sales forecast).
What are some alternatives?
When comparing telegram.bot and hts you can also consider the following projects:
R.matlab - R package: R.matlab
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
future - :rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
rtweet - 🐦 R client for interacting with Twitter's [stream and REST] APIs
meta - Official Git repository of R package meta
tableone - R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
RobinHood - An R interface for the RobinHood.com no commision investing site
hierarchicalforecast - Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
littler - A scripting and command-line front-end for GNU R