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covafillr  

Local Polynomial Regression of State Dependent Covariates in State-Space Models
View on CRAN: Click here


Download and install covafillr package within the R console
Install from CRAN:
install.packages("covafillr")

Install from Github:
library("remotes")
install_github("cran/covafillr")

Install by package version:
library("remotes")
install_version("covafillr", "0.4.4")



Attach the package and use:
library("covafillr")
Maintained by
Christoffer Moesgaard Albertsen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-23
Latest Update: 2019-11-22
Description:
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'.
How to cite:
Christoffer Moesgaard Albertsen (2016). covafillr: Local Polynomial Regression of State Dependent Covariates in State-Space Models. R package version 0.4.4, https://cran.r-project.org/web/packages/covafillr. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.2.1 (2016-02-23 07:18), 0.3.0 (2016-05-13 01:11), 0.4.0 (2017-02-16 17:44), 0.4.1 (2017-05-04 18:21), 0.4.2 (2017-11-20 15:35), 0.4.3 (2018-09-13 16:10)
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Other R packages that covafillr depends, imports, suggests or enhances
Complete documentation for covafillr
Functions, R codes and Examples using the covafillr R package
Some associated functions: covafill-class . covatree-class . cxxFlags . kde . loadJAGSModule . stat_covafill . suggestBandwith . 
Some associated R codes: RcppPlugin.R . covafill.R . covatree.R . cxxFlags.R . kde.R . loadJAGSModule.R . statcovafill.R . utils.R .  Full covafillr package functions and examples
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