Description Value Author(s) See Also
An object returned by the sme
function, inheriting from class
sme
, representing a fitted smoothing-splines mixed-effects model
An sme
object must contain the following components.
call |
a list containing an image of the |
coefficients |
an n+1 by p matrix where n is the number of subjects and p is the number of knots used in the spline basis. The first row of the matrix corresponds to the fitted values of the mean curve at the knots, and the remaining n rows correspond to the fitted values of the individual deviations from the mean curve at the knots. |
fitted |
a vector of model fitted values corresponding to the original observations. |
logLik |
the log-likelihood of the fitted model. |
residuals |
a vector of model residuals. |
nobs |
the number of observations. |
data |
a data frame of the original data used to fit the model with variables |
df |
a vector consisting of named components |
smoothingParameters |
a vector of named components |
parameters |
a list with named components |
iterations |
the number of iterations of the EM algorithm that ran before convergence (or the limit was reached) |
info |
a numeric code indicating diagnostic information from the EM algorithm with zero indicating a successful run. |
In some instances, an sme
object may also contain the following components.
knots |
a vector of the knots used in the spline basis when they do not coincide with the unique design time points. |
Maurice Berk maurice.berk01@imperial.ac.uk
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