Shapr 1.0.0

[martinju]

This should merge to master what eventually becomes shapr 1.0.0.
All changes up until that point should be made through separate PRs to be merge into the shapr_1.0.0 branch

Required in this PR

• Add adaptive estimation
• Add verbose
• Get shaprpy to work again
• Get explain_forecast to work again
• Update explain_forecast to the new adaptive version
• Add asymmetric/causal to explain

Other mandatory TODOs

• Update the NEWS file

Minor TODOs (some might be skipped before release)

• Consider moving compute_sd, n_boot_samps, max_batch_size, min_n_batches, saving_path out of adaptive_arguments and into a new argument list called something like additional_estimation_args
• Consider renaming adaptive_arguments to adaptive_args
• Consider moving keep_samp_for_vS and MSEv_uniform_comb_weights into a input arg called something like output_args
• Consider renaming shapley_reweighting to kernelSHAP_reweighting
• A bit more cleaning on all vignettes (all are currently without code errors, and at an OK level, I think)
• A bit more cleaning on the documentation (also OK at this stage I think, but new eyes don't hurt)
• Delete unnecessary scripts and devel code and other leftover from inst
• Consider adding parallelization to the boostrapping
• Consider moving saving_path and iter_res_dt to the main output to make it easier to access for users

[martinju]

Moving this to #402 instead