NEWS.md

title: "News for R package httk" date: "December 2, 2022" output: html_document

version 2.2.2 (December, 2022)

version 2.2.1 (September, 2022)

This minor update removes UTF-8 characters from the package and changes the calculation of 'kUrt' on line 292 of 'model_gas_pbtk.c' to reduce vulnerability to machine precision errors.

version 2.2.0 (September, 2022)

This version accompanies the submission of the Breen et al. manuscript "Simulating Toxicokinetic Variability to Identify Susceptible and Highly Exposed Populations"

Enhancements

Bug Fixes

version 2.1.0 (March, 2022)

This version accompanies the submission of the Kapraun et al. manuscript "Evaluation of a Rapid, Generic Human Gestational Dose Model"

New Features

Enhancements

Bug Fixes

version 2.0.4 (May 7, 2021)

Enhancements

Bug Fixes

version 2.0.3 (August 16, 2020)

Enhancements

Bug Fixes

version 2.0.2 (July 18, 2020)

Enhancements

Bug Fixes

version 2.0.1 (February 28, 2020)

New Features

Enhancements

Bug Fixes

version 2.0.0 (February 10, 2020)

This version is consistent with consistent with Linakis et al. (submitted) "Development and Evaluation of a High Throughput Inhalation Model for Organic Chemicals"

New Features

Enhancements

version 1.10.1 (Septmeber 9, 2019)

Enhancements

Bug Fixes

version 1.10.0 (July 9, 2019)

This version is consistent with the submitted manuscript Wambaugh et al. "Assessing Toxicokinetic Uncertainty and Variability in Risk Prioritization". Major enhancements were made to allow propagation of measurement-specific uncertainty and population variability into IVIVE predictions.

New Features

Enhancements

Bug Fixes

version 1.9.2 (April 22, 2019)

Bug Fixes

version 1.9.1 (April 15, 2019)

Bug Fixes

version 1.9 (February 4, 2019)

This version is consistent with the submitted version of Honda et al. "Using the Concordance of In Vitro and In Vivo Data to Evaluate Extrapolation Assumptions"

New Features

Enhancements

Bug Fixes

version 1.8 (January 23, 2018)

This version is consistent with the published version of Pearce et al. "Evaluation and calibration of high-throughput predictions of chemical distribution to tissues". This version contains calibrations for tissue:plasma partition coefficient calibration predictions.

New Features

Enhancements

Bug Fixes

version 1.7 (July 15, 2017)

This version is consistent with the JSS publication of Pearce et al. "httk: R Package for High-Throughput Toxicokinetics".

Bug Fixes

version 1.6 (June 8, 2017)

This version includes data and modifications as reported in the recently submitted Pearce et al. paper "Evaluation and Calibration of High-Throughput Predictions of Chemical Distribution to Tissues".

Enhancements

Bug Fixes

version 1.5 (March 3, 2017)

This version is consistent with Ring et al. "Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability", which is accepted for publication at Environment International. Revisions include models, data, and vignettes for "httk-pop" functionality. "httk-pop" allows Monte Carlo simulation of physiological variability using data from the National Health and Nutrition Examination Survey.

New Features

Enhancements

Bug Fixes

version: 1.4 (February 3, 2016)

This revision incorporates changes suggested by the reviewers of Pearce et al. "httk: R Package for High-Throughput Toxicokinetics", which was accepted, pending minor revision, in the Journal of Statistical Software (now included in vignettes). * Table name "PK.physiology.data" changed to "physiology.data".

version 1.3 (October 14, 2015)

This revision adds ~200 more chemicals (from two recent publications including Wetmore et al. 2015) and make several small changes to improve usability and stability.

version 1.2 (May 11, 2015)

This version is consistent with a newly submitted article Pearce et al. "httk: R Package for High-Throughput Toxicokinetics" to the Journal of Statistical SoftwareJ describing use of this package.

Version 1.1

Initial public (CRAN) release (March 6, 2015).



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httk documentation built on March 7, 2023, 7:26 p.m.