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'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

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

openblascpp

1.00 score 1 scripts 107 downloads 1 exports 2 dependencies

Last updated 7 years agofrom:45ccca3310. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 06 2025
R-4.5-linux-x86_64OKJan 06 2025

Exports:datassim

Dependencies:RcppRcppArmadillo