
Last chance! 50% off unlimited learning
Sale ends in
summary(<fit object>)$beta_table
returns the table of fixed-effect coefficients as it is printed by summary
, including standard errors and t-values.
vcov
returns the variance-covariance matrix of the fixed-effects coefficients.
Corr
returns a correlation matrix of random effects.
# S3 method for HLfit
vcov(object, ...)
Corr(object, ...)
A object of class HLfit
, as returned by the fitting functions in spaMM
.
Other arguments that may be needed by some method.
vcov
returns a matrix. Corr
returns a list, for the different random effect terms. For each random-effect term, the returned element is a non-trivial unconditional correlation matrix of the vector “v” of random effects (v as defined in see Details of HLfit
) for this term, if there is any such matrix. Otherwise the returned element is a information message.
# NOT RUN {
data("wafers")
m1 <- HLfit(y ~X1+X2+(1|batch),
resid.model = ~ 1 ,data=wafers,HLmethod="ML")
vcov(m1)
# }
Run the code above in your browser using DataLab