pksensi

Global Sensitivity Analysis in Physiologically Based Kinetic Modeling

CRAN Package

Applying the global sensitivity analysis workflow to investigate the parameter uncertainty and sensitivity in physiologically based kinetic (PK) models, especially the physiologically based pharmacokinetic/toxicokinetic model with multivariate outputs. The package also provides some functions to check the convergence and sensitivity of model parameters. The workflow was first mentioned in Hsieh et al., (2018) doi:10.3389/fphar.2018.00588, then further refined (Hsieh et al., 2020 doi:10.1016/j.softx.2020.100609).


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Insights

Last 30 days

This package has been downloaded 308 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 13 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
10 downloadsMar 4, 2025
32 downloadsMar 5, 2025
6 downloadsMar 6, 2025
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2 downloadsMar 9, 2025
13 downloadsMar 10, 2025
17 downloadsMar 11, 2025
4 downloadsMar 12, 2025
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31 downloadsMar 15, 2025
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13 downloadsMar 18, 2025
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6 downloadsMar 22, 2025
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12 downloadsMar 25, 2025
3 downloadsMar 26, 2025
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33 downloadsMar 28, 2025
2 downloadsMar 29, 2025
5 downloadsMar 30, 2025
3 downloadsMar 31, 2025
8 downloadsApr 1, 2025
13 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 4,467 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jan 03, 2025 with 73 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Imports5 packages
  • Suggests5 packages