vcov: Extracts the Variance-Covariance Matrix for a Fitted Model...
In belhal/saemix: Stochastic Approximation Expectation Maximization (SAEM) Algorithm
Description
Usage
Arguments
Value
Description
Returns the variance-covariance matrix of the main parameters of a fitted model object
Usage
1
2
3
4
5
Arguments
object
a fitted object from a call to saemix
...
further arguments to be passed to or from other methods
Value
A matrix of the estimated covariances between the parameter estimates in model. In saemix, this matrix is obtained as the inverse of the Fisher Information Matrix computed by linearisation
belhal/saemix documentation built on Sept. 10, 2019, 8:07 a.m.
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Description Usage Arguments Value
Description
Returns the variance-covariance matrix of the main parameters of a fitted model object
Usage
1 2 3 4 5 |
Arguments
object |
a fitted object from a call to saemix |
... |
further arguments to be passed to or from other methods |
Value
A matrix of the estimated covariances between the parameter estimates in model. In saemix, this matrix is obtained as the inverse of the Fisher Information Matrix computed by linearisation
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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