Package: RcppKalman 0.0.6.1

RcppKalman: 'RcppArmadillo'-Based Kalman Filtering

An 'RcppArmadillo'-based port of the Kalman filtering code in the 'EKF/UKF Toolbox for Matlab' by Simo Särkkä, Jouni Hartikainen, and Arno Solin is provided. . Note that this package is at this point still incomplete, but contains two demo functions replicating demos in 'EKF/UKF'.

Authors:Dirk Eddelbuettel

RcppKalman_0.0.6.1.tar.gz
RcppKalman_0.0.6.1.zip(r-4.7)RcppKalman_0.0.6.1.zip(r-4.6)RcppKalman_0.0.6.1.zip(r-4.5)
RcppKalman_0.0.6.1.tgz(r-4.6-x86_64)RcppKalman_0.0.6.1.tgz(r-4.6-arm64)RcppKalman_0.0.6.1.tgz(r-4.5-x86_64)RcppKalman_0.0.6.1.tgz(r-4.5-arm64)
RcppKalman_0.0.6.1.tar.gz(r-4.7-arm64)RcppKalman_0.0.6.1.tar.gz(r-4.7-x86_64)RcppKalman_0.0.6.1.tar.gz(r-4.6-arm64)RcppKalman_0.0.6.1.tar.gz(r-4.6-x86_64)
RcppKalman_0.0.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RcppKalman/json (API)

# Install 'RcppKalman' in R:
install.packages('RcppKalman', repos = c('https://eddelbuettel.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/eddelbuettel/rcppkalman/issues

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

On CRAN:

Conda:

openblascpp

3.26 score 36 stars 9 scripts 6 exports 5 dependencies

Last updated from:c4e950f572. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK162
linux-devel-x86_64OK161
source / vignettesOK228
linux-release-arm64OK155
linux-release-x86_64OK197
macos-release-arm64OK145
macos-release-x86_64OK327
macos-oldrel-arm64OK96
macos-oldrel-x86_64OK252
windows-develOK171
windows-releaseOK198
windows-oldrelOK147
wasm-releaseOK119

Exports:expmkfPredictkfUpdateltiDiscrtsSmoothertfSmoother

Dependencies:expmlatticeMatrixRcppRcppArmadillo