CRAN/E | fcr

fcr

Functional Concurrent Regression for Sparse Data

Installation

About

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, doi:10.1002/sim.7582.

Key Metrics

Version 1.0
R ≥ 3.2.4
Published 2018-03-13 2239 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks fcr results

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Maintainer

Maintainer

Andrew Leroux

aleroux2@jhu.edu

Authors

Andrew Leroux

aut / cre

Luo Xiao

aut / cre

Ciprian Crainiceanu

aut

William Checkly

aut

Material

Reference manual
Package source

Vignettes

Tutorial on how to fit models and perform prediction using fcr

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.2.4
face ≥ 0.1
mgcv ≥ 1.7
fields ≥ 9.0

Suggests

knitr
rmarkdown