fio 0.1.0 #78
albersonmiranda
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✨ Enhancements
import_element()
to programmatically import data from an Excel fileiom
uses the efficiency of R6 classesadd
andremove
methods to add and remove elements from aniom
objectbr_2020
dataset with a 51 sector Brazilian input-output table for 2020compute_tech_coeff()
andcompute_leontief_inverse()
methods uses the power of Rust andfaer
crate to substantially increase performancecompute_multiplier_*()
methods to compute multipliers from a given input-output table:compute_multiplier_output()
for the output multipliercompute_multiplier_employment()
for the employment multipliercompute_multiplier_wages()
for the wages multipliercompute_multiplier_taxes()
for the taxes multipliercompute_influence_field()
method to compute the field of influence of each sectorcompute_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 variationscompute_allocation_coeff()
method to compute the allocation coefficients of an input-output tablecompute_ghosh_inverse()
method to compute the Ghosh inverse of an input-output tablecompute_hypothetical_extraction()
method to compute impact on demand, supply and both structures after hypothetical extraction of a sectorset_max_threads()
method to allow the user to control number of threads used by {fio} (required by CRAN).🚀 Performance improvements
compute_*()
functionsfaer
crate instead ofnalgebra
for faster linear algebra calculations🛠️ Other improvements
iom
object and atadd()
methodiom
object and atadd()
methoddouble
at initialization ofiom
object and atadd()
methodFull Changelog: https://github.com/albersonmiranda/fio/commits/v0.1.0
This discussion was created from the release fio 0.1.0.
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