NEWS/ChangeLog for MSmix -------------------------- 1.0.2 2024-06-15 BUG FIXES o subsetting implementation with `subset` argument in the case of numerical row indeces. o bootstrapMSmix(...): [::] computation of the itemwise CIs for the components of the estimated consensus rankings in the case of tied relative frequencies. MINOR CHANGES o bootstrapMSmix(...): [::] added new component `conf_level` in the output list. [::] added error message for the presence of rows in the `rankings` argument having all NA entries. o data_augmentation(...): [::] added error message for the presence of rows in the `rankings` argument having all NA entries. [::] removed argument `subset`. o data_censoring(...): [::] argument `probcens` renamed as `probs`. o data_completion(...): [::] argument `reference_rho` renamed as `ref_rho`. [::] added error message for the presence of rows in the `rankings` argument having all NA entries. [::] added error message for the presence of some NA entries in the `ref_rho` argument. o data_conversion(...): [::] added error message for the presence of rows in the `rankings` argument having all NA entries. o data_description(...): [::] added error message for the presence of rows in the `rankings` argument having all NA entries. o fitMSmix(...): [::] added error message for the presence of rows in the `rankings` argument having all NA entries. o likMSmix(...): [::] added error message for the presence of rows in the `rankings` argument having all NA entries. o plot.data_descr(...): [::] added new argument `marg_by` to report marginal distribution in the heatmap either by item or by rank. [::] changed scale and colors in the legend of the heatmap. [::] unified the colors of the items in the pictogram, ecdf and bubble plots. o spear_dist(...): [::] added error message for the presence of some NA entries in the `rankings` or `rho` arguments. o summary.emMSmix(...): [::] changed element `MAP_distr` in the output list from relative to percentage distribution in the case of multiple mixture components, otherwise set as NULL. o character variables converted into factors in the `ranks_sports` dataset. NEW FUNCTIONS o added the print method print.bootMSmix(...) for the S3 class `bootMSmix`. NEW FEATURES o added new argument `subset` in bootstrapMSmix(...) and data_conversion(...). o fitMSmix(...): [::] argument `tune_theta` renamed as `theta_tune`. [::] added new argument `theta_tol`. [::] added new element `best_log_lik` in the `mod` output list. [::] element `max_log_lik_part` renamed as `best_log_lik_part` in the `mod` output list. o added new dataset `ranks_horror`. o added covariates in the `ranks_antifragility` dataset. o added packages `magrittr` and `scales` in Imports. o removed package `stringr` from Imports. o moved package `dplyr` from Imports to Depends. DOCUMENTATION o added package vignette o the manual has been globally reviewed and updated with the new implementation details. ################################################################################################################### 1.0.1 2024-04-08 BUG FIXES o fitMSmix(...) [::] stopping rule of the EM algorithm adjusted to avoid ERROR in CRAN checks for MacOS-arm64. MAJOR CHANGES o bootstrapMSmix(...): [::] replaced former arguments `n_clust`, `z_hat`, `rho_mle` and `theta_mle` with `object` to exploit the S3 class "emMSmix". [::] added new argument `parallel` for parallel execution of model fit in the case of partial rankings. o confintMSmix(...): [::] replaced former arguments `n_items`, `theta_mle`, `weights_mle` and `z_hat` with `object` to exploit the S3 class "emMSmix". [::] indication of the function validity for full rankings only. o spear_dist_distr(...): [::] new implementation to allow computation also for n_items>170 and return the approximate distribution over a fixed grid of Spearman distance values to limit computational burden. NEW FUNCTIONS o data_censoring(...) for converting full rankings into partial rankings. NEW FEATURES o added package `gmp` in Imports. DOCUMENTATION o the manual has been globally reviewed and updated with the new implementation details.