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.travis.yml

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- linux
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- osx
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after_success:
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- Rscript -e 'covr::codecov()'
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- Rscript -e 'covr::coveralls()'
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- Rscript -e 'pkgdown::build_site()'
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deploy:
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provider: pages

README.md

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# The Fast Kalman Filer Toolbox
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<!-- badges: start -->
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[![Travis build status](https://travis-ci.org/waternumbers/FKF.svg?branch=master)](https://travis-ci.org/waternumbers/FKF)
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[![Coveralls test coverage](https://coveralls.io/repos/github/waternumbers/FKF/badge.svg)](https://coveralls.io/r/waternumbers/FKF?branch=master)
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[![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/waternumbers/FKF?branch=master&svg=true)](https://ci.appveyor.com/project/waternumbers/FKF)
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<!-- badges: end -->
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The Fast Kalman Fileter Toolbox for R allows the implimentation of
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multivariate time series filtering with external time varying inputs using the
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linear Kalman fileter in R.
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This repository contains the existing and developmental source code for the
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package starting with version 0.1.5.
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The canonical link to the package on CRAN which includes examples and
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documentation is [https://CRAN.R-project.org/package=FKF](https://CRAN.R-project.org/package=FKF).
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Development can be tracked via the [github repository](https://github.com/waternumbers/FKF)
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which contains source code for the package starting with version 0.1.5.
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The canonical lin to the package on CRAN whcih includes examples and
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documentation is https://CRAN.R-project.org/package=FKF
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The latest developmental release canbe installed with
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```
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devtools::install_github("waternumbers/FKF")
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```
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Prebuild packages (usually including the latest
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version) are available from the waternumbers drat repository [here](https://waternumbers.github.io/drat).
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