Package: DatAssim 1.0

Svetlana Saarela

DatAssim: Data Assimilation

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>.

Authors:Svetlana Saarela and Anton Grafström

DatAssim_1.0.tar.gz
DatAssim_1.0.tar.gz(r-4.5-noble)DatAssim_1.0.tar.gz(r-4.4-noble)
DatAssim_1.0.tgz(r-4.4-emscripten)DatAssim_1.0.tgz(r-4.3-emscripten)
DatAssim.pdf |DatAssim.html✨
DatAssim/json (API)

# Install 'DatAssim' in R:
install.packages('DatAssim', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 167 downloads 1 exports 2 dependencies

Last updated 7 years agofrom:45ccca3310. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-linux-x86_64OKMar 07 2025
R-4.4-linux-x86_64OKMar 07 2025

Exports:datassim

Dependencies:RcppRcppArmadillo