For estimation of a variable of interest using Kalman filter by incorporating results from previous assessments, i.e. through development weighted estimates where weights are assigned inversely proportional to the variance of existing and new estimates. For reference see Ehlers et al. (2017) <doi:10.20944/preprints201710.0098.v1>.
Version: 1.0 Depends: R (≥ 3.1) Imports: Rcpp (≥ 0.12.4) LinkingTo: Rcpp, RcppArmadillo Published: 2017-11-02 DOI: 10.32614/CRAN.package.DatAssim Author: Svetlana Saarela and Anton Grafström Maintainer: Svetlana Saarela <admin at svetlanasaarela.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes CRAN checks: DatAssim results Documentation: Reference manual: DatAssim.pdf Downloads: Package source: DatAssim_1.0.tar.gz Windows binaries: r-devel: DatAssim_1.0.zip, r-release: DatAssim_1.0.zip, r-oldrel: DatAssim_1.0.zip macOS binaries: r-release (arm64): DatAssim_1.0.tgz, r-oldrel (arm64): DatAssim_1.0.tgz, r-release (x86_64): DatAssim_1.0.tgz, r-oldrel (x86_64): DatAssim_1.0.tgz Linking:Please use the canonical form https://CRAN.R-project.org/package=DatAssim to link to this page.
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