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| # 시계열 첫걸음2, 관련 패키지의 이해 {#chap2} | ||
| # 시계열 분해의 이해 {#chap2} | ||
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| ## `tsibble` 그리고 `fable` 패키지 | ||
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| 시계열과 관련 된 R 패키지는 정말 많이 있다. 그 중에서 가장 유명한 패키지는 `forecast` 패키지이다. `fpp` 2판에서 메인 패키지로 활용되었던 `forecast` 패키지는 예측성능이 좋기로 유명하다. 하지만 `forecast`는 base 패키지를 기반으로 짜여져있는 패키지라서 `fpp` 3판에서 사용하게 될 패키지는 `tsibble`과 `fable` 패키지를 주로 사용하게 될 예정이다. 두 패키지 모두 `tidyverse`스러운 코딩과 잘 맞는 함수들을 지원하는 것이 특징이다. | ||
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| ## 수정.. 제발.. | ||
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| 해치웠나..? | ||
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| 잘 해치우셨습니다.ㅋㅋ |
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| <!DOCTYPE html> | ||
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| <head> | ||
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| <meta charset="utf-8" /> | ||
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| <li><a href="./">시계열 공략집 with R</a></li> | ||
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| <li class="divider"></li> | ||
| <li class="chapter" data-level="1" data-path=""><a href="#시계열-공략집"><i class="fa fa-check"></i><b>1</b> 시계열 공략집</a></li> | ||
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| # timeseries-playbook | ||
| 슬기로운 통계생활 timeseries 공략집 - 스터디 정리집 | ||
| # 시계열 공략집 | ||
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| 본 레포는 [슬기로운 통계생활]() 시계열 스터디 내용을 정리하여 R의 Bookdown 패키지를 이용해 책 형식으로 만든 레포입니다. | ||
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| * [시계열 공략집 홈페이지](https://timeseries-playbook.netlify.app/) | ||
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| * 주교재: [Forecasting: Principles and Practice 3판](https://otexts.com/fpp3/) | ||
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| * 보조교재: Time Series Analysis | ||
| With Applications in R |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,6 @@ | ||
| # 시계열 분해의 이해 {#chap2} | ||
|
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| ## `tsibble` 그리고 `fable` 패키지 | ||
|
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||
| 시계열과 관련 된 R 패키지는 정말 많이 있다. 그 중에서 가장 유명한 패키지는 `forecast` 패키지이다. `fpp` 2판에서 메인 패키지로 활용되었던 `forecast` 패키지는 예측성능이 좋기로 유명하다. 하지만 `forecast`는 base 패키지를 기반으로 짜여져있는 패키지라서 `fpp` 3판에서 사용하게 될 패키지는 `tsibble`과 `fable` 패키지를 주로 사용하게 될 예정이다. 두 패키지 모두 `tidyverse`스러운 코딩과 잘 맞는 함수들을 지원하는 것이 특징이다. | ||
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