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:
covafillr_0.4.4.tar.gz
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covafillr_0.4.4.tgz(r-4.4-x86_64)covafillr_0.4.4.tgz(r-4.4-arm64)covafillr_0.4.4.tgz(r-4.3-x86_64)covafillr_0.4.4.tgz(r-4.3-arm64)
covafillr_0.4.4.tar.gz(r-4.5-noble)covafillr_0.4.4.tar.gz(r-4.4-noble)
covafillr_0.4.4.tgz(r-4.4-emscripten)covafillr_0.4.4.tgz(r-4.3-emscripten)
covafillr.pdf |covafillr.html✨
covafillr/json (API)
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
cppeigenjagslocal-polynomial-regressionrcpptmb
Last updated 5 years agofrom:77043af0de. Checks:OK: 5 ERROR: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win-x86_64 | OK | Oct 25 2024 |
| R-4.5-linux-x86_64 | OK | Oct 25 2024 |
| R-4.4-win-x86_64 | OK | Oct 25 2024 |
| R-4.4-mac-x86_64 | ERROR | Oct 25 2024 |
| R-4.4-mac-aarch64 | ERROR | Oct 25 2024 |
| R-4.3-win-x86_64 | OK | Oct 25 2024 |
| R-4.3-mac-x86_64 | ERROR | Oct 25 2024 |
| R-4.3-mac-aarch64 | ERROR | Oct 25 2024 |
Exports:covafillcovatreecxxFlagskdeloadJAGSModulestat_covafillsuggestBandwith
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A Reference Class for Local Polynomial Regression with covafill. | covafill covafill-class |
| A Reference Class for Search Tree Approximated Local Polynomial Regression with covatree. | covatree covatree-class |
| CXXFLAGS to compile with covafill | cxxFlags |
| Kernel Density Estimation | kde |
| load JAGS module. | loadJAGSModule |
| Add a covafill smoother to an (x,y) plot | stat_covafill |
| Suggest bandwith for local polynomial regression | suggestBandwith |
