hts
tableone
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hts
- 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).
tableone
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Are there any good packages to help me easily make a table 1?
Try tableone or table1
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Question about table one multiple pairwise comparisons // How do i suggest that?
ANd, if there is no way to do this, and since im terribly new with github, where should i ask for this new feature on the actual repository (https://github.com/kaz-yos/tableone) :D?
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Cases and controls
Check out the tableone package
What are some alternatives?
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littler - A scripting and command-line front-end for GNU R
meta - Official Git repository of R package meta
hierarchicalforecast - Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
collapse - Advanced and Fast Data Transformation in R
MicrobiomeStat - Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat