Question

我正在尝试使用forecast.holtwinters函数，当我尝试运行它时：

dftimeseriesforecast <- forecast.HoltWinters(data, h=65)

我收到此错误：

错误：找不到功能＆＃34; forecast.HoltWinters＆＃34;

我也试过这个：

 dftimeseriesforecast= forecast::forecast.HoltWinters(data, h=65)

但我收到此错误消息：

错误：＆＃39; forecast.HoltWinters＆＃39;不是来自＆＃39;命名空间的导出对象：预测＆＃39;

我使用以下代码查看预测包中的这个函数列表：

ls("package:forecast")

然后返回：

[1]＆＃34;％＆gt;％＆＃34; ＆＃34;准确性＆＃34; ＆＃34; ACF＆＃34; ＆＃34; ARFIMA＆＃34; ＆＃34;马＆＃34; ＆＃34; arima.errors＆＃34; ＆＃34; arimaorder＆＃34; ＆＃34; auto.arima＆＃34;
   [9]＆＃34;自动涂层＆＃34; ＆＃34; baggedETS＆＃34; ＆＃34;蝙蝠＆＃34; ＆＃34; bizdays＆＃34; ＆＃34; bld.mbb.bootstrap＆＃34; ＆＃34; BoxCox＆＃34; ＆＃34; BoxCox.lambda＆＃34; ＆＃34; CCF＆＃34;
  [17]＆＃34; checkresiduals＆＃34; ＆＃34;克罗斯顿＆＃34; ＆＃34; CV＆＃34; ＆＃34; CVAR＆＃34; ＆＃34; dm.test＆＃34; ＆＃34; dshw＆＃34; ＆＃34;复活节＆＃34; ＆＃34; ETS＆＃34;
  [25]＆＃34;发现频率＆＃34; ＆＃34;预测＆＃34; ＆＃34; forecast.ets＆＃34; ＆＃34;傅立叶＆＃34; ＆＃34; fourierf＆＃34; ＆＃34;气体＆＃34; ＆＃34; geom_forecast＆＃34; ＆＃34; GeomForecast＆＃34;
  [33]＆＃34; getResponse＆＃34; ＆＃34; ggAcf＆＃34; ＆＃34; ggCcf＆＃34; ＆＃34; gghistogram＆＃34; ＆＃34; gglagchull＆＃34; ＆＃34; gglagplot＆＃34; ＆＃34; ggmonthplot＆＃34; ＆＃34; ggPacf＆＃34;
  [41]＆＃34; ggseasonplot＆＃34; ＆＃34; ggsubseriesplot＆＃34; ＆＃34; ggtaperedacf＆＃34; ＆＃34; ggtaperedpacf＆＃34; ＆＃34; ggtsdisplay＆＃34; ＆＃34;金＆＃34; ＆＃34;霍尔特＆＃34; ＆＃34; HW＆＃34;
  [49]＆＃34; InvBoxCox＆＃34; ＆＃34; is.acf＆＃34; ＆＃34; is.Arima＆＃34; ＆＃34; is.baggedETS＆＃34; ＆＃34; is.bats＆＃34; ＆＃34; is.constant＆＃34; ＆＃34; is.ets＆＃34; ＆＃34; is.forecast＆＃34;
  [57]＆＃34; is.mforecast＆＃34; ＆＃34; is.nnetar＆＃34; ＆＃34; is.nnetarmodels＆＃34; ＆＃34; is.splineforecast＆＃34; ＆＃34; is.stlm＆＃34; ＆＃34;毫安＆＃34; ＆＃34; meanf＆＃34; ＆＃34; monthdays＆＃34;
  [65]＆＃34; msts＆＃34; ＆＃34; na.interp＆＃34; ＆＃34;幼稚＆＃34; ＆＃34; ndiffs＆＃34; ＆＃34; nnetar＆＃34; ＆＃34; nsdiffs＆＃34; ＆＃34; PACF＆＃34; ＆＃34;其余＆＃34;
  [73]＆＃34; rwf＆＃34; ＆＃34; seasadj＆＃34; ＆＃34;季节性＆＃34; ＆＃34; seasonaldummy＆＃34; ＆＃34; seasonaldummyf＆＃34; ＆＃34; seasonplot＆＃34; ＆＃34; SES＆＃34; ＆＃34; sindexf＆＃34;
  [81]＆＃34; snaive＆＃34; ＆＃34; splinef＆＃34; ＆＃34; StatForecast＆＃34; ＆＃34; STLF＆＃34; ＆＃34; stlm＆＃34; ＆＃34; taperedacf＆＃34; ＆＃34; taperedpacf＆＃34; ＆＃34;泰勒＆＃34;
  [89]＆＃34; tbats＆＃34; ＆＃34; tbats.components＆＃34; ＆＃34; thetaf＆＃34; ＆＃34; trendcycle＆＃34; ＆＃34; tsclean＆＃34; ＆＃34; TSCV＆＃34; ＆＃34; tsdisplay＆＃34; ＆＃34; TSLM＆＃34;
  [97]＆＃34; tsoutliers＆＃34; ＆＃34; wineind＆＃34; ＆＃34; woolyrnq＆＃34;

有谁知道发生了什么事？我以前用过这个，没有问题。我使用预测版本8.1。

Answer 1

这些内容都不在forecast包中。它们位于stats：

> m <- stats::HoltWinters(co2)
> class(m)
[1] "HoltWinters"
> p = predict(m)
> pp = stats:::predict.HoltWinters(m)
> p
          Jan
1998 365.1079
> pp
          Jan
1998 365.1079

predict.HoltWinters是来自stats的未导出函数，只应在来自HoltWinters()的对象上调用。

forecast.HoltWinters是来自forecast的未导出函数，这意味着您需要三个冒号才能访问它。但是你应该永远不必这样做，因为当你在forecast的输出上运行HoltWinters()时应该会自动找到它：

> m <- stats::HoltWinters(co2)
> forecast(m)
         Point Forecast    Lo 80    Hi 80    Lo 95    Hi 95
Jan 1998       365.1079 364.7139 365.5019 364.5053 365.7105
Feb 1998       365.9664 365.5228 366.4100 365.2879 366.6449
[etc]

同样：

> forecast:::forecast.HoltWinters(m)
         Point Forecast    Lo 80    Hi 80    Lo 95    Hi 95
Jan 1998       365.1079 364.7139 365.5019 364.5053 365.7105
Feb 1998       365.9664 365.5228 366.4100 365.2879 366.6449
[etc]

Answer 2

像这样使用：

forecast:::forecast.HoltWinters().

它会起作用。

Answer 3

使用R v3.4.4和预测v8.2时，这对我有用：

hw <- stats::HoltWinters(data) forecast_data <- forecast(hw, h=65)

Answer 4

使用：

forecast_data <-forecast(mydata #data name,h=56)

在更新您的r版本之后，它将起作用

Answer 5

您可以尝试下面的代码，它将起作用。您不需要HoltWinters.forecast。

    dftimeseries.hw <- HoltWinters(data)
    dftimeseries.forecast <-forecast(dftimeseries.hw,h=65)

未找到预测包中的R forecast.holtwinters

5 个答案: