Usage
## S3 method for class 'list':
sme(object,tme,ind,verbose=F,lambda.mu=NULL,lambda.v=NULL,maxIter=500,
knots=NULL,zeroIntercept=F,deltaEM=1e-3,deltaNM=1e-3,criteria="AICc",
numberOfThreads=2,\dots)
Arguments
object
a list of vectors of observations
tme
a list of vectors of time points corresponding to the observations in object
ind
a list of factors (or vectors that can be coerced to factors) of subject identifiers
corresponding to the observations in object
verbose
if TRUE, debug information will be output while fitting the model(s)
lambda.mu
either a single smoothing parameter to be used for the fixed-effect function for
all fits, or a vector of smoothing parameters, one for each fit, or NULL if Nelder-Mead
search should be used to find the optimal values for this and
lambda.v
either a single smoothing parameter to be used for the random-effects functions
for all fits, or a vector of smoothing parameters, one for each fit, or NULL if Nelder-Mead
search should be used to find the optimal values for this and
maxIter
maximum number of iterations to be performed for the EM algorithm
knots
location of spline knots. If NULL, an incidence matrix representation will be
used. See `Details'
zeroIntercept
experimental feature. If TRUE, the fitted values of the fixed- and
random-effects functions at the intercept will be zero
deltaEM
convergence tolerance for the EM algorithm
deltaNM
(relative) convergence tolerance for the Nelder-Mead optimisation
criteria
one of "AICc", "AIC", "BICN" or "BICn" indicating
which criteria to use to score a particular combination of lambda.mu and lambda.v in
the Nelder-Mead search
numberOfThreads
The number of threads to use to fit the multiple smoothing-splines
mixed-effects models simultaneously
...
additional arguments, currently not used