ci_from_hessian: Parameter confidence intervals from fit
In cvasi: Calibration, Validation, and Simulation of TKTD Models
ci_from_hessian R Documentation
Parameter confidence intervals from fit
Description
Calculates parameter confidence intervals for a fit returned by calibrate().
The fit must provide a valid Hessian matrix.
Usage
ci_from_hessian(fit, dof, level = 0.95)
Arguments
fit
return value from calibrate()
dof
integer, Degrees of Freedom, commonly the number of independent observations
minus the number of fitted parameters
level
numeric, desired confidence level, i.e a value between zero and one.
Defaults to 95% (0.95).
Value
name list of numeric vectors of length two, the elements
representing the lower and upper confidence limit, respectively.
cvasi documentation built on Sept. 11, 2025, 5:11 p.m.
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| ci_from_hessian | R Documentation |
Parameter confidence intervals from fit
Description
Calculates parameter confidence intervals for a fit returned by calibrate().
The fit must provide a valid Hessian matrix.
Usage
ci_from_hessian(fit, dof, level = 0.95)
Arguments
fit |
return value from |
dof |
integer, Degrees of Freedom, commonly the number of independent observations minus the number of fitted parameters |
level |
numeric, desired confidence level, i.e a value between zero and one.
Defaults to 95% ( |
Value
name list of numeric vectors of length two, the elements representing the lower and upper confidence limit, respectively.
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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