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fcr  

Functional Concurrent Regression for Sparse Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fcr", "1.0")



Attach the package and use:
library("fcr")
Maintained by
Andrew Leroux
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-13
Latest Update:
Description:
Dynamic prediction in functional concurrent regression with an application to child growth. Extends the pffr() function from the 'refund' package to handle the scenario where the functional response and concurrently measured functional predictor are irregularly measured. Leroux et al. (2017), Statistics in Medicine, .
How to cite:
Andrew Leroux (2018). fcr: Functional Concurrent Regression for Sparse Data. R package version 1.0, https://cran.r-project.org/web/packages/fcr. Accessed 06 Jun. 2026.
Previous versions and publish date:
1.0 (2018-03-13 16:45)
Other packages that cited fcr R package
View fcr citation profile
Other R packages that fcr depends, imports, suggests or enhances
Complete documentation for fcr
Functions, R codes and Examples using the fcr R package
Some associated functions: content . fcr-package . fcr . plot.fcr . predict.fcr . 
Some associated R codes: fcr.R . fcr_hidden.R . fcr_methods.R . fcr_package.R .  Full fcr package functions and examples
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