tidy.Arima {broom} | R Documentation |
Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies cross models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'Arima' tidy(x, conf.int = FALSE, conf.level = 0.95, ...)
x |
An object of class |
conf.int |
Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to |
conf.level |
The confidence level to use for the confidence interval
if |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
A tibble::tibble with one row for each coefficient and columns:
term |
The term in the nonlinear model being estimated and tested |
estimate |
The estimated coefficient |
std.error |
The standard error from the linear model |
If conf.int = TRUE
, also returns
conf.low |
low end of confidence interval |
conf.high |
high end of confidence interval |
Other Arima tidiers: glance.Arima
fit <- arima(lh, order = c(1, 0, 0)) tidy(fit) glance(fit)