MECfda: Scalar-on-Function Regression with Measurement Error Correction

Solve scalar-on-function linear models, including generalized linear mixed effect model and quantile linear regression model, and bias correction estimation methods due to measurement error. Details about the measurement error bias correction methods, see Luan et al. (2023) <doi:10.48550/arXiv.2305.12624>, Tekwe et al. (2022) <doi:10.1093/biostatistics/kxac017>, Zhang et al. (2023) <doi:10.5705/ss.202021.0246>, Tekwe et al. (2019) <doi:10.1002/sim.8179>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: stats, stringr, lme4, quantreg, splines, dplyr, MASS, Matrix, gss, corpcor, fda, magrittr, methods, nlme, glme, mgcv
Suggests: knitr, rmarkdown
Published: 2024-10-21
DOI: 10.32614/CRAN.package.MECfda
Author: Heyang Ji ORCID iD [aut, cre, ctb, dtc], Ufuk Beyaztas ORCID iD [ctb, rev], Nicolas Escobar-Velasquez ORCID iD [com], Yuanyuan Luan [ctb], Xiwei Chen [ctb], Mengli Zhang [ctb], Roger Zoh [ths], Lan Xue [ths], Carmen Tekwe ORCID iD [ths]
Maintainer: Heyang Ji <jihx1015 at outlook.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: MECfda results

Documentation:

Reference manual: MECfda.pdf
Vignettes: Introduction to MECfda Package (source, R code)

Downloads:

Package source: MECfda_0.1.0.tar.gz
Windows binaries: r-devel: MECfda_0.1.0.zip, r-release: MECfda_0.1.0.zip, r-oldrel: MECfda_0.1.0.zip
macOS binaries: r-release (arm64): MECfda_0.1.0.tgz, r-oldrel (arm64): MECfda_0.1.0.tgz, r-release (x86_64): MECfda_0.1.0.tgz, r-oldrel (x86_64): MECfda_0.1.0.tgz

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