forecast和fable在同一数据集上返回不同的输出,以便在R中进行预测
我试图理解两个预测包forecast和fable在同一数据集上返回不同的输出,以便在R中进行预测,r,forecasting,fable-r,R,Forecasting,Fable R,我试图理解两个预测包forecast和fable之间的区别,因为同一本书的两个版本(似乎暗示这两个包是等效的) library(dplyr) raw <- c(44.4082519001086, 47.1074380165289, 43.5633367662204, 43.1003584229391, 42.5828970331588, 38.3217993079585, 38.5751520417029) # raw <- c(raw,rev(raw)) f
forecast
和fable
之间的区别,因为同一本书的两个版本(似乎暗示这两个包是等效的)
library(dplyr)
raw <- c(44.4082519001086, 47.1074380165289, 43.5633367662204, 43.1003584229391,
42.5828970331588, 38.3217993079585, 38.5751520417029)
# raw <- c(raw,rev(raw))
forecast.df <- ts(raw)
forecast::autoplot(forecast.df) +
forecast::autolayer(forecast::holt(forecast.df,damped=FALSE,h = 5),
series="Holt's method",PI = TRUE)
fable.df <- tsibble::as_tsibble(tibble(value=raw) %>%
mutate(time=1:n()),index=time)
fable.df %>%
fabletools::model(`Holt's method`=
fable::ETS(value ~ error("A") + trend("A") + season("N"))) %>%
fabletools::forecast(.,h=5) %>%
fabletools::autoplot(fable.df,level=c(80,95))
库(dplyr)
未经加工的