R Package Scholar
35,414

refund: Regression with Functional Data

Jeff Goldsmith  Fabian Scheipl  Lei Huang  Julia Wrobel  Chongzhi Di  Jonathan Gellar  Jaroslaw Harezlak  Mathew W. McLean  Bruce Swihart  Luo Xiao  Ciprian Crainiceanu  Philip T. Reiss  Yakuan Chen  Sonja Greven  Lan Huo  Madan Gopal Kundu  So Young Park  David L. Miller  Ana-Maria Staicu  Erjia Cui  Ruonan Li  Zheyuan Li   View description and downloadsView dependenciesGitHub project

2010 Published
0 Citations
22 Authors
31 Revisions
0.1-37 Version
GPL-2 License
Referenced by ⇅ Year
FDboost: Boosting Functional Regression Models (Version 1.1-2)

2014
MECfda: Scalar-on-Function Regression with Measurement Error Correction (Version 0.2.0)

2024
MJMbamlss: Multivariate Joint Models with 'bamlss' (Version 0.1.0)

2023
fPASS: Power and Sample Size for Projection Test under Repeated Measures (Version 1.0.0)

2023
fastFMM: Fast Functional Mixed Models using Fast Univariate Inference (Version 0.3.0)

2023
funmediation: Functional Mediation for a Distal Outcome (Version 1.0.2)

2021
ghcm: Functional Conditional Independence Testing with the GHCM (Version 3.0.1)

2021
gmfamm: Generalized Multivariate Functional Additive Models (Version 0.1.0)

2024
longsurr: Longitudinal Surrogate Marker Analysis (Version 1.0)

2022
mMARCH.AC: Processing of Accelerometry Data with 'GGIR' in mMARCH (Version 2.9.4.0)

2022
mlr: Machine Learning in R (Version 2.19.2)

2013
mxfda: A Functional Data Analysis Package for Spatial Single Cell Data (Version 0.2.2-1)

2024
postGGIR: Data Processing after Running 'GGIR' for Accelerometer Data (Version 2.4.0.2)

2021
refund.shiny: Interactive Plotting for Functional Data Analyses (Version 1.0)

2015
rmfanova: Repeated Measures Functional Analysis of Variance (Version 0.1.0)

2023
runDRT: Run Doubly Ranked Tests (Version 0.1.0)

2024
sparseFLMM: Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data (Version 0.4.1)

2017
spfda: Function-on-Scalar Regression with Group-Bridge Penalty (Version 0.9.1)

2020
tf: S3 Classes and Methods for Tidy Functional Data (Version 0.3.4)

2024

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.

rpkg.net © 2022 - 2025 Obi Obianom