Package: mtsdi
Version: 0.3.7
Date: 2025-04-09
Authors@R: c(person("Washington","Junger",role=c("aut","cre"),email="wjunger@ims.uerj.br"),
             person("Antonio","Ponce de Leon",role="ctb",email="ponce@ims.uerj.br"))
Depends: R (>= 4.0.0),base,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: 2026-06-22 08:11:05 UTC; root
Author: Washington Junger [aut, cre], Antonio Ponce de Leon [ctb]
Maintainer: Washington Junger <wjunger@ims.uerj.br>
Repository: https://wjunger.r-universe.dev
Date/Publication: 2025-04-09 23:30:47 UTC
RemoteUrl: https://github.com/cran/mtsdi
RemoteRef: HEAD
RemoteSha: ae6a8347c78f888801d581be1763fa1711fd5d11