Package: covafillr 0.4.4

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'.

Authors:Christoffer Moesgaard Albertsen [aut, cre]

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covafillr.pdf |covafillr.html✨
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NEWS

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

Bug tracker:https://github.com/calbertsen/covafillr/issues

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

On CRAN:

Conda:

cppeigenjagslocal-polynomial-regressionrcpptmbcpp

3.00 score 1 stars 20 scripts 278 downloads 7 exports 2 dependencies

Last updated 5 years agofrom:77043af0de. Checks:5 OK, 6 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 22 2025
R-4.5-win-x86_64OKFeb 22 2025
R-4.5-mac-x86_64ERRORFeb 22 2025
R-4.5-mac-aarch64ERRORFeb 22 2025
R-4.5-linux-x86_64OKFeb 22 2025
R-4.4-win-x86_64OKFeb 22 2025
R-4.4-mac-x86_64ERRORFeb 22 2025
R-4.4-mac-aarch64ERRORFeb 22 2025
R-4.3-win-x86_64OKFeb 22 2025
R-4.3-mac-x86_64ERRORFeb 22 2025
R-4.3-mac-aarch64ERRORFeb 22 2025

Exports:covafillcovatreecxxFlagskdeloadJAGSModulestat_covafillsuggestBandwith

Dependencies:RcppRcppEigen