Methods of the generic function print, fitted and predict for objects inheriting from class cSFM.
"print"(x, ...)
"fitted"(object, quantile = TRUE, quantile.level = c(0.5, 0.8, 0.9, 0.95, 0.99), ...)
"predict"(object, newdata, cp.valid, tp.valid = NULL, ...)cSFM.estcSFM.estquantile = TRUEnewdata with length nrow{newdata}newdata with length ncol{newdata}; See "Details".predict, each row of newdata corresponds to covariate information cp.valid,
while the column is for the time points tp.valid. When tp.valid is null, then we assume the validation
data set has the same time points as the training data set, which is used to obtain object.
cSFM.est, print, fitted, predict