estimates and values with results for all threads.list of values for the initial, partition, and/or base_optimizer parameters, where each combination creates a separate alternating optimization thread.Removed update_code from output. Updates are now accepted regardless whether they improve the function value. In the end, the best solution is returned.
Added tolerance_history argument to compare function value and parameters between more than one iteration.
Added hide_warnings argument to hide warnings during the AO procedure.
Implemented random partitions, parameter bounds, new stopping criteria (iteration limit, time limit, change in function value, change in parameters).
The ao() API did change a lot, please check the documentation.
{cli} to improve error messages.Added package start up-message.
Added more details to README file.
Increased required version of {optimizeR} to version 1.0.3.
{optimizeR} version 1.0.1.Renamed input print.level -> verbose.
In the return value, renamed element "time" -> "seconds" (time is now always in seconds); the same in the "sequence" element. Additionally, added "value" column to the "sequence" element.
Added input f_partition to optionally specify functions for the partitions.
Added input joint_end to optionally optimize jointly in the end of the alternating optimization procedure.
Input iterlim can be Inf now.
Having empty elements in partition is no longer allowed.
Removed plotting feature for parameter updates during estimation.
New dependency on {checkmate} for input checks.
{pkgdown} package. No code changes.Updated code to the new {optimizeR} version 0.3.0, which renamed changed some input and output names.
In particular, in ao(), renamed input optimizer -> base_optimizer.
Fixed bug when using numerical gradient and/or Hessian in target function.
{optimizeR} version 0.2.0, which renamed some functions.... arguments for ao().Removed the set_f() interface. The optimization problem is now specified directly in ao().
The output format of ao() has been changed, see the documentation of ao().
Arbitrary optimizer can now be specified in ao() as an optimizer object via the framework from the {optimizeR} package.
Removed utils functions from {ao}. They are imported from the {optimizeR} package.
ao() now returns the sequence of estimates in the different iterations as a data frame.
ao() now is able to plot the sequence of estimates during estimation.
Argument groups in ao() now is called partition and sequence is replaced by iterations.
New function set_f() for specification of the optimization problem. Parameter constraints can now be imposed on the target function.
New helper functions is_number(), try_silent(), timed() and euclidean().
Included a vignette with details on alternating optimization.
New package sticker.
Updated package metadata.
Updated package sticker.
print.ao().Skip alternation optimization step if a group is empty.
Estimation times now is returned always in seconds.
Return stats::nlm() outputs.
Implemented method print.ao().