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This is an EM algorithm based method for imputation of missing values in multivariate normal time series. The imputation algorithm accounts for both spatial and temporal correlation structures. Temporal patterns can be modeled using an ARIMA(p,d,q), optionally with seasonal components, a nonparametric cubic spline or generalized additive models with exogenous covariates. This algorithm is specially tailored for climate data with missing measurements from several monitors along a given region.
Package details 


Author  Washington Junger <wjunger@ims.uerj.br> and Antonio Ponce de Leon <ponce@ims.uerj.br> 
Maintainer  Washington Junger <wjunger@ims.uerj.br> 
License  GPL (>= 2) 
Version  0.3.5 
Package repository  View on CRAN 
Installation 
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