vcov.tramME {tramME} | R Documentation |
Extracts the covariance matrix of the selected parameters. The returned values are on the same scale as the estimated parameter values, i.e. the standard deviations of the random effect terms are on log scale.
## S3 method for class 'tramME' vcov( object, parm = NULL, pargroup = c("all", "fixef", "shift", "baseline", "ranef"), pmatch = FALSE, ... )
object |
A fitted tramME object. |
parm |
The indeces or names of the parameters of interest. See in details. |
pargroup |
fixef: fixed-effects, shift: shift parameters, all: fixed effects and variance component parameters, baseline: parameters of the baseline transformation function, ranef: variance components parameters. |
pmatch |
Logical. If |
... |
Optional arguments |
The argument parm
defines the indices or the names of the parameters
of interest within the selected pargroup
. When pmatch = TRUE
,
partial matching of parameter names is allowed.
A numeric covariance matrix.
data("sleepstudy", package = "lme4") fit <- BoxCoxME(Reaction ~ Days + (Days | Subject), data = sleepstudy, order = 10) vcov(fit) vcov(fit, pargroup = "ranef") vcov(fit, pargroup = "baseline") vcov(fit, parm = "Reaction") ## same as previous