smeObject {sme} | R Documentation

## Fitted sme Object

### Description

An object returned by the `sme` function, inheriting from class `sme`, representing a fitted smoothing-splines mixed-effects model

### Value

An `sme` object must contain the following components.

`call` | a list containing an image of the `sme` call that produced the object.
`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 `y`, `tme` and `ind` corresponding to observations, time points and subject identifiers respectively.
`df` | a vector consisting of named components `mu` and `v` corresponding to the degrees of freedom of the mean and subject curves respectively.
`smoothingParameters` | a vector of named components `mu` and `v` corresponding to the smoothing parameters for the mean and subject curves respectively.
`parameters` | a list with named components `sigmaSquared` and `D` corresponding to the error variance and (unregularized) variance of the random-effects respectively.
`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.

### Author(s)

Maurice Berk maurice.berk01@imperial.ac.uk

### See Also

`sme`

[Package sme version 1.0.2 Index]