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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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
covafillr/json (API)

# 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:

cpp eigen jags local-polynomial-regression rcpp tmb cpp

3.11 score 1 stars 26 scripts 371 downloads 7 exports 2 dependencies

Last updated from:77043af0de. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	91
linux-devel-x86_64	OK	117
source / vignettes	OK	195
linux-release-arm64	OK	88
linux-release-x86_64	OK	118
macos-release-arm64	OK	95
macos-release-x86_64	OK	185
macos-oldrel-arm64	OK	86
macos-oldrel-x86_64	OK	151
windows-devel-arm64	OK	198
windows-devel-x86_64	OK	125
windows-release-arm64	OK	179
windows-release-x86_64	OK	85
windows-oldrel-x86_64	OK	101
wasm-release	OK	93

Exports:covafill covatree cxxFlags kde loadJAGSModule stat_covafill suggestBandwith

Dependencies:Rcpp RcppEigen

Citation

Development and contributors

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