patter functions enable progress monitoring via function arguments and global options. At the time of writing, there are three main tools to monitor and enhance function progress:
User output messages (via the patter.verbose option and the .verbose argument);
Progress bars (via pbapply::pboptions());
Parallelisation (via .threads and .cl_ arguments);
Only selected patter functions support these options but this may expand in the future, depending on user feedback.
User output messages are controlled via the .verbose argument. There is a global option patter.verbose that can be set to suppress user output messages. See the internal cat_ documentation for permitted inputs to .verbose.
For R functions with a Julia backend, progress bars are implemented via Julia and cannot be modified by the user.
For pure R functions, progress bars are implemented via the pbapply package and controlled globally via pbapply::pboptions(). See the internal pb_ function documentation for examples.
For R functions with a Julia backend, parallelisation is implemented via the .threads argument to julia_connect(). This can only be set once per R session.
For pure R functions, parallelisation is implemented via .cl_ arguments passed to cl_lapply(), which wraps pbapply::pblapply(). See the cl_lapply() function documentation for full details.