Package: mtsdi
Version: 0.3.5
Date: 2018-01-02
Author: Washington Junger <wjunger@ims.uerj.br> and Antonio Ponce de Leon <ponce@ims.uerj.br>
Maintainer: Washington Junger <wjunger@ims.uerj.br>
Depends: R (>= 3.0.0),utils,stats,gam,splines
Title: Multivariate Time Series Data Imputation
Description: 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 non-parametric 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.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-01-23 20:02:24 UTC; wjunger
Repository: CRAN
Date/Publication: 2018-01-23 21:52:30 UTC
Built: R 4.4.0; ; 2024-05-06 16:36:54 UTC; unix
