default_pip_prior: Default prior specification for piperacillin
In hlweeks/pkpredict: Compartment Model Implementation for Pharmacokinetic Analysis
default_pip_prior R Documentation
Default prior specification for piperacillin
Description
The prior values stored here were derived from random effects estimates from a prior pharmacokinetic
study using Gaussian kernel density estimation. See vignette for details. This prior specification is
also stored as an option when the package is loaded and can be retreived using
'getOption("pkpredict.pip.default.prior")'.
Usage
default_pip_prior
Format
A list with 4 elements specifying the default prior distribution for function arguments:
log_pk_mean, log_pk_vcov, log_err_mean, log_err_sdev
Examples
data(default_pip_prior)
hlweeks/pkpredict documentation built on Oct. 29, 2023, 6:08 a.m.
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| default_pip_prior | R Documentation |
Default prior specification for piperacillin
Description
The prior values stored here were derived from random effects estimates from a prior pharmacokinetic study using Gaussian kernel density estimation. See vignette for details. This prior specification is also stored as an option when the package is loaded and can be retreived using 'getOption("pkpredict.pip.default.prior")'.
Usage
default_pip_prior
Format
A list with 4 elements specifying the default prior distribution for function arguments: log_pk_mean, log_pk_vcov, log_err_mean, log_err_sdev
Examples
data(default_pip_prior)
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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