All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
start, end and n)diagnostics.fcast-outsample-mean,
diagnostics.fcast-outsample-variance)na.rm = TRUE by default in compute_score()
#36extract_QR accept demetra_m with duplicated
columnsgrade to the jdc_thresholds
option to specify the different grades when computing the scorefile which will replace
matrix_output_file for extract_QR()x which can contains a diagnostic matrix
for extract_QR()recode_vec() when changing the grades with
factor objectextractQR() works with v3 nowexport_xlsx() with ifelse()extract_QR works with V3 workspacesany(is.na(...)) ->
anyNA(...)jdc_thresholds optionweighted_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+.