weighted_score() now creates a new score_pond variable, rather than replacing it. The function extract_score() extracts both weighted and unweighted scores.compute_score() to calculate the score.conditional_indicator parameter to the function compute_score() to reduce down to 1 the weight of some indicators, depending on other variables' value.score() is replaced by the function extract_score() and has a new parameter to choose the output format. The function score() will be removed in the next version of the package.add_indicator() to add variables in the quality report's matrix of values.recode_indicator_num() to recode variable modalities in the quality report.remove_indicators() ou retain_indicators()print.QR_matrix() and print.QR_matrix().compute_score(): the parameter score_formula is removed and replaced by score_pond. The score is calculated using the vector of variables to weight instead of a formula. The function now also carries two additional arguments: n_contrib_score to extract the variables that contribute the most to the score, and na.rm to take into account the missing values when calculating the score.extract_QR(): the Q-m2 stat was equal to the Q stat.Bug fixed in the functions retain_indicators() and remove_indicator().
update_workspace() to update a workspace without exporting the results.log_file to the functions cruncher() and cruncher_and_param() to export the cruncher log if required.default_matrix_item and default_tsmatrix_series, in accordance with the parameters of version 2.2.0 of JDemetra+.