VarCov: Variance-covariance of the estimates
In lcmm: Extended Mixed Models Using Latent Classes and Latent Processes
Description
Usage
Arguments
Value
Author(s)
See Also
Description
This function provides the variance-covariance matrix of the estimates. vcov
is an alias for it.
Usage
1
VarCov(x)
Arguments
x
an object of class hlme, lcmm, multlcmm or
Jointlcmm
Value
a matrix containing the variance-covariance of the estimates. For
the parameters of the matrix of variance-covariance of the random effects,
the Cholesky transformed parameters are considered so that VarCov provides
the covariance matrix of function estimates with cholesky=TRUE.
Author(s)
Cecile Proust-Lima, Viviane Philipps
See Also
estimates, hlme, lcmm,
multlcmm, Jointlcmm
lcmm documentation built on Jan. 31, 2022, 9:06 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
This function provides the variance-covariance matrix of the estimates. vcov is an alias for it.
Usage
1 | VarCov(x)
|
Arguments
x |
an object of class |
Value
a matrix containing the variance-covariance of the estimates. For
the parameters of the matrix of variance-covariance of the random effects,
the Cholesky transformed parameters are considered so that VarCov provides
the covariance matrix of function estimates with cholesky=TRUE.
Author(s)
Cecile Proust-Lima, Viviane Philipps
See Also
estimates, hlme, lcmm,
multlcmm, Jointlcmm
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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