as_lmerModLmerTest {lmerTest} | R Documentation |
Coerce lmerMod Objects to lmerModLmerTest
Description
Coercing an lme4::lmer model-object (of class 'lmerMod') to a model-object of class 'lmerModLmerTest' involves computing the covariance matrix of the variance parameters and the gradient (Jacobian) of cov(beta) with respect to the variance parameters.
Usage
as_lmerModLmerTest(model, tol = 1e-08)
Arguments
model |
and lmer model-object (of class 'lmerMod') – the result of a
call to |
tol |
tolerance for determining of eigenvalues are negative, zero or positive |
Value
an object of class 'lmerModLmerTest'
which sets the following
slots:
vcov_varpar |
the asymptotic covariance matrix of the variance parameters (theta, sigma). |
Jac_list |
list of Jacobian matrices; gradients of vcov(beta) with respect to the variance parameters. |
vcov_beta |
the asymptotic covariance matrix of the fixed-effect regression parameters (beta; vcov(beta)). |
sigma |
the residual standard deviation. |
Author(s)
Rune Haubo B. Christensen
See Also
the class definition in lmerModLmerTest
) and
lmer
Examples
m <- lme4::lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
bm <- as_lmerModLmerTest(m)
slotNames(bm)