| 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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.