Tidy a(n) orcutt object
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 across 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 'orcutt' tidy(x, ...)
x |
An |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
A tibble::tibble()
with columns:
estimate |
The estimated value of the regression term. |
p.value |
The two-sided p-value associated with the observed statistic. |
statistic |
The value of a T-statistic to use in a hypothesis that the regression term is non-zero. |
std.error |
The standard error of the regression term. |
term |
The name of the regression term. |
Other orcutt tidiers:
glance.orcutt()
if (requireNamespace("orcutt", quietly = TRUE)) { library(orcutt) reg <- lm(mpg ~ wt + qsec + disp, mtcars) tidy(reg) co <- cochrane.orcutt(reg) co tidy(co) glance(co) }
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