- userBwCov
The bandwidth value for the smoothed covariance function; positive numeric - default: determine automatically based on 'methodBwCov'
- methodBwCov
The bandwidth choice method for the smoothed covariance function; 'GMeanAndGCV' (the geometric mean of the GCV bandwidth and the minimum bandwidth),'CV','GCV' - default: 10% of the support
- userBwMu
The bandwidth value for the smoothed mean function (using 'CV' or 'GCV'); positive numeric - default: determine automatically based on 'methodBwMu'
- methodBwMu
The bandwidth choice method for the mean function; 'GMeanAndGCV' (the geometric mean of the GCV bandwidth and the minimum bandwidth),'CV','GCV' - default: 5% of the support
- dataType
The type of design we have (usually distinguishing between sparse or dense functional data); 'Sparse', 'Dense', 'DenseWithMV', 'p>>n' - default: determine automatically based on 'IsRegular'
- error
Assume measurement error in the dataset; logical - default: TRUE
- kernel
Smoothing kernel choice, common for mu and covariance; "rect", "gauss", "epan", "gausvar", "quar" - default: "gauss"; dense data are assumed noise-less so no smoothing is performed.
- kFoldMuCov
The number of folds to be used for mean and covariance smoothing. Default: 10
- lean
If TRUE the 'inputData' field in the output list is empty. Default: FALSE
- methodMuCovEst
The method to estimate the mean and covariance in the case of dense functional data; 'cross-sectional', 'smooth' - default: 'cross-sectional'
- nRegGrid
The number of support points in each direction of covariance surface; numeric - default: 51
- numBins
The number of bins to bin the data into; positive integer > 10, default: NULL
- rotationCut
The 2-element vector in [0,1] indicating the percent of data truncated during sigma^2 estimation; default (0.25, 0.75))
- useBinnedData
Should the data be binned? 'FORCE' (Enforce the # of bins), 'AUTO' (Select the # of bins automatically), 'OFF' (Do not bin) - default: 'AUTO'
- useBinnedCov
Whether to use the binned raw covariance for smoothing; logical - default:TRUE
- userMu
The user-defined smoothed mean function; list of two numerical vector 't' and 'mu' of equal size, 't' must cover the support defined 'Ly' - default: NULL
- userSigma2
The user-defined measurement error variance. A positive scalar. If specified then no regularization is used (rho is set to 'no', unless specified otherwise). Default to 'NULL'
- useBW1SE
Pick the largest bandwidth such that CV-error is within one Standard Error from the minimum CV-error, relevant only if methodBwMu ='CV' and/or methodBwCov ='CV'; logical - default: FALSE