View source: R/list-optim-tidiers.R
tidy_optim | R Documentation |
Broom tidies a number of lists that are effectively S3
objects without a class attribute. For example, stats::optim()
,
svd() and interp::interp()
produce consistent output, but
because they do not have a class attribute, they cannot be handled by S3
dispatch.
These functions look at the elements of a list and determine if there is
an appropriate tidying method to apply to the list. Those tidiers are
implemented as functions of the form tidy_<function>
or
glance_<function>
and are not exported (but they are documented!).
If no appropriate tidying method is found, they throw an error.
tidy_optim(x, ...)
x |
A list returned from |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in
|
A tibble::tibble()
with columns:
parameter |
The parameter being modeled. |
std.error |
The standard error of the regression term. |
value |
The value/estimate of the component. Results from data reshaping. |
std.error
is only provided as a column if the Hessian is calculated.
This function assumes that the provided objective function is a negative log-likelihood function. Results will be invalid if an incorrect function is supplied.
tidy(o) glance(o)
tidy()
, stats::optim()
Other list tidiers:
glance_optim()
,
list_tidiers
,
tidy_irlba()
,
tidy_svd()
,
tidy_xyz()
f <- function(x) (x[1] - 2)^2 + (x[2] - 3)^2 + (x[3] - 8)^2
o <- optim(c(1, 1, 1), f)
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