fillNA {sparseDFM} | R Documentation |
Interpolation of missing data
Description
Internal missing data is filled in using a cubic spline. Start and end of sample missing data is filled in using the median of the series and then smoothed with an MA(3) process.
Usage
fillNA(X)
Arguments
X |
n x p numeric matrix of stationary and standardized time series |
Value
X n \times p
numeric matrix with missing data interpolated
idx.na n \times p
logical matrix with TRUE
if missing and FALSE
otherwise.
[Package sparseDFM version 1.0 Index]