Move things around

[martinju]

Aiming at fixing these TODOs from #402

• Moving compute_sd, n_boot_samps, max_batch_size, min_n_batches out of adaptive_arguments and into a new argument list called extra_estimation_args
• Rename adaptive to iterative (better reflecting what is actually going on)
• Renaming adaptive_arguments to iterative_args
• Move keep_samp_for_vS, MSEv_uniform_comb_weights and saving_path into a new input arg called output_args
• Renaming shapley_reweighting to kernelSHAP_reweighting
• Move saving_path and iterative_results to the main output to make it easier to access for users
• convergence_tolerance -> convergence_tol

Updated arguments of explain:

explain <- function(model,
                    x_explain,
                    x_train,
                    approach,
                    prediction_zero,
                    iterative = NULL,
                    max_n_coalitions = NULL,
                    group = NULL,
                    paired_shap_sampling = TRUE,
                    n_MC_samples = 1e3,
                    kernelSHAP_reweighting = "on_all_cond",
                    seed = 1,
                    verbose = "basic",
                    predict_model = NULL,
                    get_model_specs = NULL,
                    prev_shapr_object = NULL,
                    extra_computation_args = list(),
                    iterative_args = list(),
                    output_args = list(),
                    ...) { # ... is further arguments passed to specific approaches

Updated output from explain()

  output <- list(
    shapley_values = dt_shapley_est,
    shapley_values_sd = dt_shapley_sd,
    pred_explain = p,
    MSEv = MSEv,
    iterative_results = iterative_results,
    saving_path = internal$parameters$output_args$saving_path,
    internal = internal
  )