Last data update: 2014.03.03
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mtsdi
Package: mtsdi
Version: 0.3.3
Date: 2012-11-08
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 (>= 2.15.0), 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 modelled using
an ARIMA(p,d,q), optionally with seasonal components, a
non-parametric cubic spline or generalised 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)
Packaged: 2012-11-08 15:29:19 UTC; wjunger
Repository: CRAN
Date/Publication: 2012-11-08 16:53:37
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'mtsdi' ...
** package 'mtsdi' successfully unpacked and MD5 sums checked
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'mtsdi'
finding HTML links ... done
edaprep html
elapsedtime html
getmean html
internal html
miss html
mkjnw html
mnimput html
mstats html
plot.mtsdi html
predict.mtsdi html
print.mtsdi html
print.summary.mtsdi html
summary.mtsdi html
** building package indices
** testing if installed package can be loaded
* DONE (mtsdi)
Making 'packages.html' ... done
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