Last updated on 2025-12-06 00:48:45 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.0 | 2.13 | 29.30 | 31.43 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.1.0 | 1.74 | 15.37 | 17.11 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.0 | 47.75 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 0.1.0 | 46.28 | OK | |||
| r-devel-windows-x86_64 | 0.1.0 | 3.00 | 46.00 | 49.00 | OK | |
| r-patched-linux-x86_64 | 0.1.0 | 2.31 | 26.98 | 29.29 | OK | |
| r-release-linux-x86_64 | 0.1.0 | 2.19 | 28.63 | 30.82 | OK | |
| r-release-macos-arm64 | 0.1.0 | OK | ||||
| r-release-macos-x86_64 | 0.1.0 | 2.00 | 25.00 | 27.00 | OK | |
| r-release-windows-x86_64 | 0.1.0 | 3.00 | 46.00 | 49.00 | OK | |
| r-oldrel-macos-arm64 | 0.1.0 | OK | ||||
| r-oldrel-macos-x86_64 | 0.1.0 | 2.00 | 34.00 | 36.00 | OK | |
| r-oldrel-windows-x86_64 | 0.1.0 | 3.00 | 54.00 | 57.00 | OK |
Version: 0.1.0
Check: examples
Result: ERROR
Running examples in ‘htsDegenerateR-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: MinT
> ### Title: Using the method of Wickramasuriya et al. (2019), this function
> ### (based on Hyndman et al.'s hts library) combines the forecasts at all
> ### levels of a hierarchical time series and works for degenerate
> ### hierarchies.
> ### Aliases: MinT
>
> ### ** Examples
>
> # Set the seed for reproducibility
> set.seed(123)
>
> # Create a sequence of 120 numbers
> x <- seq(1, 120)
>
> # Generate the columns
> AA <- sin(x*pi/6) + rnorm(120, 0, 1) # Sine component with random noise
> AB <- 0.05*x + rnorm(120, 0, 0.5) # Linear component
> B <- cos(x*pi/6)+ rnorm(120, 0, 1) # Cosine component
>
> # Combine the columns into a matrix
> matrix <- cbind(AA, AB, B)
> hts = ts(matrix, frequency = 12)
>
> # Define S matrix
> S <- rbind(c(1,1,1), c(1,1,0), diag(1,3))
> rownames(S) <-c("Total", "A", "AA", "AB", "B")
> colnames(S) <- c("AA", "AB", "B")
>
> # Aggregate hts on all levels
> hts.complete <- ts(t(S %*% t(hts)), frequency = 12)
>
> # Fit a model to the time series
> hts.models = lapply(hts.complete, function(c.ts) forecast::ets(c.ts))
Error in loadNamespace(x) : there is no package called ‘forecast’
Calls: lapply ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc