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covafillr: Local Polynomial Regression of State Dependent Covariates in State-Space Models

Facilitates local polynomial regression for state dependent covariates in state-space models. The functionality can also be used from 'C++' based model builder tools such as 'Rcpp'/'inline', 'TMB', or 'JAGS'.

Version: 0.4.4
Depends: R (≥ 3.0.0)
Imports: methods, stats, Rcpp (≥ 0.11.0)
LinkingTo: RcppEigen
Suggests: TMB, rjags, inline, ggplot2
Published: 2019-11-22
DOI: 10.32614/CRAN.package.covafillr
Author: Christoffer Moesgaard Albertsen ORCID iD [aut, cre]
Maintainer: Christoffer Moesgaard Albertsen <cmoe at aqua.dtu.dk>
BugReports: https://github.com/calbertsen/covafillr/issues
License: BSD_2_clause + file LICENSE
URL: https://github.com/calbertsen/covafillr
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: covafillr results

Documentation:

Reference manual: covafillr.pdf

Downloads:

Package source: covafillr_0.4.4.tar.gz
Windows binaries: r-devel: covafillr_0.4.4.zip, r-release: covafillr_0.4.4.zip, r-oldrel: covafillr_0.4.4.zip
macOS binaries: r-release (arm64): covafillr_0.4.4.tgz, r-oldrel (arm64): covafillr_0.4.4.tgz, r-release (x86_64): covafillr_0.4.4.tgz, r-oldrel (x86_64): covafillr_0.4.4.tgz
Old sources: covafillr archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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