pearce2017regression: Pearce et al. 2017 data
In httk: High-Throughput Toxicokinetics
pearce2017regression R Documentation
Pearce et al. 2017 data
Description
This table includes the adjusted and unadjusted regression parameter
estimates for the chemical-specifc plasma
protein unbound fraction (fup) in 12 different tissue types.
Usage
pearce2017regression
Format
data.frame
Details
Predictions were made with regression models,
as reported in Pearce et al. (2017).
Author(s)
Robert G. Pearce
Source
Pearce et al. 2017 Regression Models
References
Pearce, Robert G., et al. "Evaluation and calibration of
high-throughput predictions of chemical distribution to tissues."
Journal of pharmacokinetics and pharmacodynamics 44.6 (2017): 549-565.
See Also
predict_partitioning_schmitt
httk documentation built on Sept. 11, 2024, 9:32 p.m.
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| pearce2017regression | R Documentation |
Pearce et al. 2017 data
Description
This table includes the adjusted and unadjusted regression parameter estimates for the chemical-specifc plasma protein unbound fraction (fup) in 12 different tissue types.
Usage
pearce2017regression
Format
data.frame
Details
Predictions were made with regression models, as reported in Pearce et al. (2017).
Author(s)
Robert G. Pearce
Source
Pearce et al. 2017 Regression Models
References
Pearce, Robert G., et al. "Evaluation and calibration of high-throughput predictions of chemical distribution to tissues." Journal of pharmacokinetics and pharmacodynamics 44.6 (2017): 549-565.
See Also
predict_partitioning_schmitt
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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