talk-forecast-to-fable
Science Score: 23.0%
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Last synced: 11 months ago
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Basic Info
- Host: GitHub
- Owner: mitchelloharawild
- Language: HTML
- Default Branch: master
- Homepage: https://slides.mitchelloharawild.com/nyr2023/
- Size: 10.1 MB
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Created about 3 years ago
· Last pushed almost 3 years ago
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Readme
Citation
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
# NYR2023: From forecast to fable, design decisions for statistical software.
Slides and notes for a talk at the 2023 New York R (13-14th July 2023) in Manhattan, New York USA.
A recording of this presentation is available on YouTube here:
[](https://www.youtube.com/watch?v=IFTfHfmR1h8)
#### Abstract
A well designed interface is instrumental in making software easy to learn and use. The design of statistical software is inherently subjective, and there are many difficult decisions involved in creating interfaces that work cohesively within the intended domain. In this talk, I will examine the design decisions made when creating fable, the tidy time series forecasting successor of the widely renowned forecast package.
#### Structure
* Intro, open source, forecasting history (3 minutes)
* Making R packages, existing tools available (2 minutes)
* Design principles (1 minute)
* Design goals of forecast and fable (1 minute)
* Data designs (3+ minutes)
* Model interfaces (3 minutes)
* Accuracy evaluation (2+ minutes)
* Forecasting futures (3+ minutes)
* Conclude (1 minute)
### Format
20 minute talk.
Owner
- Name: Mitchell O'Hara-Wild
- Login: mitchelloharawild
- Kind: user
- Location: Australia
- Twitter: mitchoharawild
- Repositories: 12
- Profile: https://github.com/mitchelloharawild
Citation (citations.bib)
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