Changes in version 1.1.0.9000 Changes in version 1.1.0 (2026-06-07) 💥 Breaking changes - miom$compute_multiregional_multipliers() output columns renamed: destination_country, destination_sector, and destination_label are now shock_country, shock_sector, and shock_label (they identify the origin of the final-demand shock). - miom$get_regional_interdependence() now uses block sums from the spillover matrix for total_spillover_out and total_spillover_in. Removed interdependence_index; added spillover_balance and spillover_export_share. Changes in version 1.0.0 (2026-02-27) ✨ Enhancements - New miom() function to create multi-regional input-output models (#155). - New get_bilateral_trade() function to extract bilateral trade flows from multi-regional input-output models. - New compute_multiregional_multipliers() function to compute intra-regional, inter-regional and spillover multipliers from multi-regional input-output models. - New get_spillover_matrix() function to show how shocks in one region affect other regions in multi-regional input-output models. - New get_net_spillover_matrix() function to show net spillover effects between regions pairs in multi-regional input-output models. - New get_regional_interdependence() function to compute regional self-reliance and interdependence measures in multi-regional input-output models. - New close_model() method to support closed single-region input-output models by moving household and/or government sectors from final demand to intermediate transactions matrix (#154). - New param matrix to compute_key_sectors() and compute_hypothetical_extraction() so users can decide if should be used Leontief or Ghosh matrices when computing forward linkages (#148). - New download_wiod() function to download World Input-Output Database (WIOD) tables directly from their website (#152). 💥 Breaking changes - Built-in data (fio::br_2020 and fio::world_2000) was moved from {fio} to a data-only companion package {fiodata}. Changes in version 0.1.6 (2025-04-06) 🐞 Bug fixes - Fix R-devel (4.5) issues (#119). - Remove CARGO_LINKER environment variable to use the correct linker for Windows (#123). - Fix makevars.in and makevars.win.in to avoid race condition when building package in parallel make (#127). 💥 Breaking changes - Removed threads slot from iom object (#95). - Raise minimum supported Rust version to 1.77 due to pulp crate (faer dependency) (#127). 🛠️ Other improvements - Fix homebrew installation instructions in README and tools/msrv.r (#105). - Translate br_2020 dataset to English (#113). - Fedora 36, 37, 38 and 39 from test workflow, since CRAN runners were updated to Fedora 40 (#126). Changes in version 0.1.2 (2024-08-27) 🛠️ Other improvements - Fixes system checks scripts to correctly handle errors when Rust and Cargo are not found. Changes in version 0.1.1 (2024-08-21) 🛠️ Other improvements - Update extraction.rsand multipliers.rs in order to lower minimum supported Rust version from 1.71 to 1.67. - Set minimum version of rustc >= 1.67.1 in SystemRequirements. - Add system checks to rustc and prompt users either install, if missing, or update when version is lower than specified in DESCRIPTION. Changes in version 0.1.0 (2024-08-01) ✨ Enhancements - New import_element() to programmatically import data from an Excel file - New data import addin makes easy to import data from clipboard or an Excel file - New iom uses the efficiency of R6 classes - New add and remove methods to add and remove elements from an iom object - New br_2020 dataset with a 51 sector Brazilian input-output table for 2020 - New compute_tech_coeff() and compute_leontief_inverse() methods uses the power of Rust and faer crate to substantially increase performance - New compute_multiplier_*() methods to compute multipliers from a given input-output table: - compute_multiplier_output() for the output multiplier - compute_multiplier_employment() for the employment multiplier - compute_multiplier_wages() for the wages multiplier - compute_multiplier_taxes() for the taxes multiplier - New compute_influence_field() method to compute the field of influence of each sector - New compute_key_sectors() method to compute the key sectors of an input-output table, based on power of dispersion and sensitivity of dispersion, and their coefficients of variations - New compute_allocation_coeff() method to compute the allocation coefficients of an input-output table - New compute_ghosh_inverse() method to compute the Ghosh inverse of an input-output table - New compute_hypothetical_extraction() method to compute impact on demand, supply and both structures after hypothetical extraction of a sector - New set_max_threads() method to allow the user to control number of threads used by {fio} (required by CRAN). 🚀 Performance improvements - Use Rust instead of base R for compute_*() functions - Use faer crate instead of nalgebra for faster linear algebra calculations - Use R6 classes for a clean, object state-changes, memory-efficient object-oriented programming 🛠️ Other improvements - Added assertions to check if elements imported into slots are matrices at initialization of iom object and at add() method - Added assertions to check matrices dimensions at initialization of iom object and at add() method - More informative warnings and errors messages with {cli} package - Added assertions to check if number format of slots is double at initialization of iom object and at add() method - Fix build configuration to comply with CRAN policies