slm {assist} | R Documentation |
Returns an object of class slm
that represents a
semi-parametric linear mixed effects model fit.
slm(formula, rk, data=list(), random, weights=NULL,
correlation=NULL, control=list(apVar=FALSE))
formula |
a formula object, with the response on the left of a |
rk |
a list of expressions that specify the reproducing kernels of the spline function(s), |
data |
An optional data frame containing the variables appearing in |
random |
A named list of formulae, lists of formulae, or pdMat objects, which defines nested random effects structures. See help file of lme for more details. |
weights |
An optional |
correlation |
An optional |
control |
an optional list of any applicable control parameters from |
This generic function fits a semi-parametric linear mixed effects model (or non-parametric mixed effects models) as described in Wang (1998), but allowing for general random and correlation structures. Because the connection to a linear mixed effects model is adopted, only GML is available to choose smoothing parameters.
An object of class slm
is returned. Generic functions such as print, summary, predict and intervals have
methods to show the results of the fit.
Note: output from earlier versions of slm
shows incorrect smoothing spline parameters for SSANOVA, which is corrected in this version.
Chunlei Ke chunlei_ke@yahoo.com and Yuedong Wang yuedong@pstat.ucsb.edu.
Wang, Y. (1998) Mixed Effects Smoothing Spline ANOVA. JRSS, Series B, 60:159–174.
Pinherio, J. C. and Bates, D. M. (2000) Mixed-effects Models in S and S-Plus. Springer.
ssr
, predict.slm
, intervals.slm
,
print.slm
,summary.slm
## Not run:
## SS ANOVA is used to model "time" and "group"
## with random intercept for "dog".
data(dog)
dog.fit<- slm(y~group*time, rk=list(cubic(time), shrink1(group),
rk.prod(kron(time-0.5),shrink1(group)),rk.prod(cubic(time),
shrink1(group))), random=list(dog=~1), data=dog)
## End(Not run)