Construct a single row summary of the TSLM model.
# S3 method for class 'TSLM'
glance(x, ...)A one row tibble summarising the model's fit.
Contains the R squared (r_squared), variance of residuals (sigma2),
the log-likelihood (log_lik), and information criterion (AIC, AICc, BIC).
as_tsibble(USAccDeaths) %>%
model(lm = TSLM(log(value) ~ trend() + season())) %>%
glance()
#> # A tibble: 1 × 15
#> .model r_squared adj_r_squared sigma2 statistic p_value df log_lik AIC
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <int> <dbl> <dbl>
#> 1 lm 0.825 0.789 0.00248 23.1 6.02e-18 13 121. -418.
#> # ℹ 6 more variables: AICc <dbl>, BIC <dbl>, CV <dbl>, deviance <dbl>,
#> # df.residual <int>, rank <int>