Computes various types of residuals
Computes several types of residuals for objects of class
a formula expression. The constrained effect(s) must come before any unconstrained covariates on the right-hand side of the expression. The first
data frame containing the variables in the model.
optional vector of group levels for residual variances. Data should be sorted by this value.
the number of variables in
For fixed-effects models Y = X*b + e, residuals are given as ehat = Y - X*betahat. For mixed-effects models Y = X*b + U*xi + e, three types of residuals are available. PA = Y - X*betahat\ SS = U*xihat\ FM = Y - X*betahat - U*xihat
List containing the elements
FM are defined above (for fixed-effects models, the residuals are only
cov.theta is the unconstrained covariance matrix of the fixed-effects coefficients,
xi is the vector of random effect estimates, and
tsq are unconstrained estimates of the variance components.
There are few error catches in these functions. If only the EM estimates are desired,
users are recommended to run
By default, homogeneous variances are assumed for the residuals and (if included)
random effects. Heterogeneity can be induced using the arguments
which refer to the vectors (n1, n2 ,... , nk) and
(c1, c2 ,... , cq), respectively. See
CLME-package for further explanation the model and these values.
lrt.stat for more details on using custom
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