ljung_box.Rd
ljung box test for white noise
ljung_box( x, p = 0, q = 0, k_val = c(24, 48), model_name = "My Model", alpha = 0.05 )
x | the time series |
---|---|
p | the ar order (Default = 0) |
q | the ma order (Default = 0) |
k_val | a vector of k values |
model_name | Model name or identifier (Default: "My Model") |
alpha | Significance level to be used for ljung_box tests |
the results of the tests, in tidy data format
ljung_box(wn)#> None of the 'ljung_box' tests rejected the null hypothesis that the data is consistent with white noise at an significance level of 0.05#> # A tibble: 2 x 7 #> test K chi.square df pval Model Decision #> <chr> <dbl> <dbl> <dbl> <dbl> <chr> <chr> #> 1 Ljung-Box test 24 19.6 24 0.719 My Model FTR NULL #> 2 Ljung-Box test 48 41.2 48 0.747 My Model FTR NULL#> At least one of the 'ljung_box' tests rejected the null hypothesis that the data is consistent with white noise at an significance level of 0.05#> # A tibble: 2 x 7 #> test K chi.square df pval Model Decision #> <chr> <dbl> <dbl> <dbl> <dbl> <chr> <chr> #> 1 Ljung-Box test 24 1315. 24 0 My Model REJECT NULL #> 2 Ljung-Box test 48 1469. 48 0 My Model REJECT NULL