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

View source: R/VarCov.lcmm.R View source: R/VarCov.multlcmm.R View source: R/VarCov.Jointlcmm.R View source: R/VarCov.hlme.R

This function provides the variance-covariance matrix of the estimates. vcov is an alias for it.

## S3 method for class 'hlme'
VarCov(x)
## S3 method for class 'lcmm'
VarCov(x)
## S3 method for class 'Jointlcmm'
VarCov(x)
## S3 method for class 'multlcmm'
VarCov(x)

`x`	an object of class `hlme`, `lcmm`, `multlcmm` or `Jointlcmm`

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.

Cecile Proust-Lima, Viviane Philipps

estimates, hlme, lcmm, multlcmm, Jointlcmm

lcmm documentation built on May 31, 2017, 5:19 a.m.