vcov.egf: Model Covariance Matrices
In davidearn/epigrowthfit:
Nonlinear Mixed Effects Models of Epidemic Growth
vcov.egf R Documentation
Model Covariance Matrices
Description
Extracts (or, if necessary, computes) the covariance matrix of
bottom level parameters beta and theta,
corresponding to the output of coef(object).
Usage
## S3 method for class 'egf'
vcov(object, ...)
Arguments
object
an egf object.
...
unused optional arguments.
Details
If the resulting matrix is not finite or not positive definite,
then the fit specified by object should be investigated,
as the optimizer that produced the fit may have failed to converge.
Value
A real, symmetric matrix.
See Also
The generic function vcov.
davidearn/epigrowthfit documentation built on Feb. 22, 2025, 12:44 p.m.
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| vcov.egf | R Documentation |
Model Covariance Matrices
Description
Extracts (or, if necessary, computes) the covariance matrix of
bottom level parameters beta and theta,
corresponding to the output of coef(object).
Usage
## S3 method for class 'egf'
vcov(object, ...)
Arguments
object |
an |
... |
unused optional arguments. |
Details
If the resulting matrix is not finite or not positive definite,
then the fit specified by object should be investigated,
as the optimizer that produced the fit may have failed to converge.
Value
A real, symmetric matrix.
See Also
The generic function vcov.
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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