read_maf().sig_fit() to ‘NNLS’ and implement it with pracma package (#216).use_all option in read_copynumber() working correctly.MRSE to RMSE.show_sig_bootstrap_*() for plotting aggregated values.get_groups() for clustering.highlight_size for show_sig_bootstrap_*().sig_fit() function to better visualize a few samples.lsei package was removed from CRAN, here I reset default method to ‘QP’ and tried best to keep the LS usage in sigminer (#189).show_sig_profile() and added input checking for this function.furrr, solution is from https://github.com/DavisVaughan/furrr/issues/107.sig_fit() for methods QP and SA.show_sig_fit() and show_sig_bootstrap_* functions.sig_fit_bootstrap_batch for more useful in practice.show_groups() to show the signature contribution in each group from get_groups().get_groups() to result of sig_fit().sig_fit_bootstrap_batch().sig_tally().cores > 1 (#161).sig_fit().sig_fit_bootstrap() for bootstrap results.Imports to Suggests.report_bootstrap_p_value() to report p values.data().fuzzyjoin package from dependency.ggalluvial package to field suggsets.All users, this is a break-through version of sigminer, most of functions have been modified, more features are implemented. Please read the reference list to see the function groups and their functionalities.
Please read the vignette for usage.
I Hope it helps your research work and makes a new contribution to the scientific community.